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2024
[c130]
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Chasen Milner, Hayden Jananthan, Jeremy Kepner, Vijay Gadepally, Michael Jones, Peter Michaleas, Ritesh Patel, Sandeep Pisharody, Gabriel Wachman, Alex Pentland:
Teaching Network Traffic Matrices in an Interactive Game Environment. IPDPS (Workshops) 2024: 459-467
[c129]
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Chansup Byun, Julie Mullen, Albert Iwersen Reuther, William Arcand, William Bergeron, David Bestor, Daniel Burrill, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Peter Michaleas, Guillermo Morales, Andrew Prout, Antonio Rosa, Charles Yee, Jeremy Kepner, Lauren Milechin:
LLload: Simplifying Real-Time Job Monitoring for HPC Users. PEARC 2024: 65:1-65:4
[i135]
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  - journals/corr/abs-2404-14643
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Chasen Milner, Hayden Jananthan, Jeremy Kepner, Vijay Gadepally, Michael Jones, Peter Michaleas, Ritesh Patel, Sandeep Pisharody, Gabriel Wachman, Alex Pentland:
Teaching Network Traffic Matrices in an Interactive Game Environment. CoRR abs/2404.14643 (2024)
[i134]
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  - journals/corr/abs-2407-01481
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Chansup Byun, Julia Mullen, Albert Reuther, William Arcand, William Bergeron, David Bestor, Daniel Burrill, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Peter Michaleas, Guillermo Morales, Andrew Prout, Antonio Rosa, Charles Yee, Jeremy Kepner, Lauren Milechin:
LLload: Simplifying Real-Time Job Monitoring for HPC Users. CoRR abs/2407.01481 (2024)
[i133]
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  - journals/corr/abs-2409-03111
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Jeremy Kepner, Hayden Jananthan, Michael Jones, William Arcand, David Bestor, William Bergeron, Daniel Burrill, Aydin Buluç, Chansup Byun, Timothy Davis, Vijay Gadepally, Daniel Grant, Michael Houle, Matthew Hubbell, Piotr Luszczek, Lauren Milechin, Chasen Milner, Guillermo Morales, Andrew Morris, Julie Mullen, Ritesh Patel, Alex Pentland, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Gabriel Wachman, Charles Yee, Peter Michaleas:
What is Normal? A Big Data Observational Science Model of Anonymized Internet Traffic. CoRR abs/2409.03111 (2024)
[i132]
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  - journals/corr/abs-2409-08115
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Hayden Jananthan, Michael Jones, William Arcand, David Bestor, William Bergeron, Daniel Burrill, Aydin Buluç, Chansup Byun, Timothy Davis, Vijay Gadepally, Daniel Grant, Michael Houle, Matthew Hubbell, Piotr Luszczek, Peter Michaleas, Lauren Milechin, Chasen Milner, Guillermo Morales, Andrew Morris, Julie Mullen, Ritesh Patel, Alex Pentland, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Gabriel Wachman, Charles Yee, Jeremy Kepner:
Anonymized Network Sensing Graph Challenge. CoRR abs/2409.08115 (2024)
[i131]
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  - journals/corr/abs-2409-10770
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Andrew Prout, Albert Reuther, Michael Houle, Michael Jones, Peter Michaleas, LaToya Anderson, William Arcand, Bill Bergeron, David Bestor, Alex Bonn, Daniel Burrill, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Hayden Jananthan, Piotr Luszczek, Lauren Milechin, Guillermo Morales, Julie Mullen, Antonio Rosa, Charles Yee, Jeremy Kepner:
HPC with Enhanced User Separation. CoRR abs/2409.10770 (2024)
[i130]
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  - journals/corr/abs-2409-12297
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Michael Houle, Michael Jones, Dan Wallmeyer, Risa Brodeur, Justin Burr, Hayden Jananthan, Sam Merrell, Peter Michaleas, Anthony Perez, Andrew Prout, Jeremy Kepner:
Hypersparse Traffic Matrices from Suricata Network Flows using GraphBLAS. CoRR abs/2409.12297 (2024)
[i129]
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  - journals/corr/abs-2410-00688
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William Bergeron, Matthew Hubbell, Daniel Mojica, Albert Reuther, William Arcand, David Bestor, Daniel Burrill, Chansup Byun, Vijay Gadepally, Michael Houle, Hayden Jananthan, Michael Jones, Piotr Luszczek, Peter Michaleas, Lauren Milechin, Julie Mullen Andrew Prout, Antonio Rosa, Charles Yee, Jeremy Kepner:
Supercomputer 3D Digital Twin for User Focused Real-Time Monitoring. CoRR abs/2410.00688 (2024)
2023
[c128]
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  - conf/hpec/ByunABBGHHJJKMMMMPRRSYK23
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Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Guillermo Morales, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner:
pPython Performance Study. HPEC 2023: 1-7
[c127]
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Hayden Jananthan, Jeremy Kepner, Michael Jones, William Arcand, David Bestor, William Bergeron, Chansup Byun, Timothy Davis, Vijay Gadepally, Daniel Grant, Michael Houle, Matthew Hubbell, Anna Klein, Lauren Milechin, Guillermo Morales, Andrew Morris, Julie Mullen, Ritesh Patel, Alex Pentland, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Tyler Trigg, Gabriel Wachman, Charles Yee, Peter Michaleas:
Mapping of Internet "Coastlines" via Large Scale Anonymized Network Source Correlations. HPEC 2023: 1-9
[c126]
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Michael Jones, Jeremy Kepner, Andrew Prout, Timothy Davis, William Arcand, David Bestor, William Bergeron, Chansup Byun, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Hayden Jananthan, Anna Klein, Lauren Milechin, Guillermo Morales, Julie Mullen, Ritesh Patel, Sandeep Pisharody, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas:
Deployment of Real-Time Network Traffic Analysis Using GraphBLAS Hypersparse Matrices and D4M Associative Arrays. HPEC 2023: 1-8
[c125]
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Jeremy Kepner, Michael Jones, Phil Dykstra, Chansup Byun, Timothy Davis, Hayden Jananthan, William Arcand, David Bestor, William Bergeron, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Anna Klein, Lauren Milechin, Guillermo Morales, Julie Mullen, Ritesh Patel, Alex Pentland, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Tyler Trigg, Charles Yee, Peter Michaleas:
Focusing and Calibration of Large Scale Network Sensors Using GraphBLAS Anonymized Hypersparse Matrices. HPEC 2023: 1-9
[c124]
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  - conf/hpec/ReutherMJGSK23
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Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner:
Lincoln AI Computing Survey (LAICS) Update. HPEC 2023: 1-7
[c123]
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Siddharth Samsi, Dan Zhao, Joseph McDonald, Baolin Li, Adam Michaleas, Michael Jones, William Bergeron, Jeremy Kepner, Devesh Tiwari, Vijay Gadepally:
From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference. HPEC 2023: 1-9
[i128]
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  - journals/corr/abs-2306-09267
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Dimitrios Ioannidis, Jeremy Kepner, Andrew Bowne, Harriet S. Bryant:
Are ChatGPT and Other Similar Systems the Modern Lernaean Hydras of AI? CoRR abs/2306.09267 (2023)
[i127]
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  - journals/corr/abs-2309-01806
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Jeremy Kepner, Michael Jones, Phil Dykstra, Chansup Byun, Timothy Davis, Hayden Jananthan, William Arcand, David Bestor, William Bergeron, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Anna Klein, Lauren Milechin, Guillermo Morales, Julie Mullen, Ritesh Patel, Alex Pentland, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Tyler Trigg, Charles Yee, Peter Michaleas:
Focusing and Calibration of Large Scale Network Sensors using GraphBLAS Anonymized Hypersparse Matrices. CoRR abs/2309.01806 (2023)
[i126]
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  - journals/corr/abs-2309-02464
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Michael Jones, Jeremy Kepner, Andrew Prout, Timothy Davis, William Arcand, David Bestor, William Bergeron, Chansup Byun, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Hayden Jananthan, Anna Klein, Lauren Milechin, Guillermo Morales, Julie Mullen, Ritesh Patel, Sandeep Pisharody, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas:
Deployment of Real-Time Network Traffic Analysis using GraphBLAS Hypersparse Matrices and D4M Associative Arrays. CoRR abs/2309.02464 (2023)
[i125]
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  - journals/corr/abs-2309-03931
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Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Guillermo Morales, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner:
pPython Performance Study. CoRR abs/2309.03931 (2023)
[i124]
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  - journals/corr/abs-2310-00522
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Hayden Jananthan, Jeremy Kepner, Michael Jones, William Arcand, David Bestor, William Bergeron, Chansup Byun, Timothy Davis, Vijay Gadepally, Daniel Grant, Michael Houle, Matthew Hubbell, Anna Klein, Lauren Milechin, Guillermo Morales, Andrew Morris, Julie Mullen, Ritesh Patel, Alex Pentland, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Tyler Trigg, Gabriel Wachman, Charles Yee, Peter Michaleas:
Mapping of Internet "Coastlines" via Large Scale Anonymized Network Source Correlations. CoRR abs/2310.00522 (2023)
[i123]
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  - journals/corr/abs-2310-03003
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Siddharth Samsi, Dan Zhao, Joseph McDonald, Baolin Li, Adam Michaleas, Michael Jones, William Bergeron, Jeremy Kepner, Devesh Tiwari, Vijay Gadepally:
From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference. CoRR abs/2310.03003 (2023)
[i122]
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  - journals/corr/abs-2310-09145
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Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner:
Lincoln AI Computing Survey (LAICS) Update. CoRR abs/2310.09145 (2023)
[i121]
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  - journals/corr/abs-2310-18334
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William Bergeron, Michael Jones, Chase Barber, Kale DeYoung, George T. Amariucai, Kaleb Ernst, Nathan Fleming, Peter Michaleas, Sandeep Pisharody, Nathan Wells, Antonio Rosa, Eugene Y. Vasserman, Jeremy Kepner:
Hypersparse Traffic Matrix Construction using GraphBLAS on a DPU. CoRR abs/2310.18334 (2023)
[i120]
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  - journals/corr/abs-2311-03559
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Emma Fu, Hayden Jananthan, Jeremy Kepner:
Algebraic Conditions on One-Step Breadth-First Search. CoRR abs/2311.03559 (2023)
[i119]
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  - journals/corr/abs-2311-03562
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Christopher Howard, Hayden Jananthan, Jeremy Kepner:
From Bits to Insights: Exploring Network Traffic, Traffic Matrices, and Heavy-Tailed Data. CoRR abs/2311.03562 (2023)
[i118]
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  - journals/corr/abs-2311-03574
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Kevin Min, Hayden Jananthan, Jeremy Kepner:
Fuzzy Relational Databases via Associative Arrays. CoRR abs/2311.03574 (2023)
[i117]
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  - journals/corr/abs-2311-03609
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Kevin Kwak, Zack West, Hayden Jananthan, Jeremy Kepner:
Testing RadiX-Nets: Advances in Viable Sparse Topologies. CoRR abs/2311.03609 (2023)
2022
[c122]
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Qian Li, Peter Kraft, Kostis Kaffes, Athinagoras Skiadopoulos, Deeptaanshu Kumar, Jason Li, Michael J. Cafarella, Goetz Graefe, Jeremy Kepner, Christos Kozyrakis, Michael Stonebraker, Lalith Suresh, Matei Zaharia:
A Progress Report on DBOS: A Database-oriented Operating System. CIDR 2022
[c121]
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  - conf/hpca/LiASPABBRBHHHJK22
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Baolin Li, Rohin Arora, Siddharth Samsi, Tirthak Patel, William Arcand, David Bestor, Chansup Byun, Rohan Basu Roy, Bill Bergeron, John T. Holodnak, Michael Houle, Matthew Hubbell, Michael Jones, Jeremy Kepner, Anna Klein, Peter Michaleas, Joseph McDonald, Lauren Milechin, Julie Mullen, Andrew Prout, Benjamin Price, Albert Reuther, Antonio Rosa, Matthew L. Weiss, Charles Yee, Daniel Edelman, Allan Vanterpool, Anson Cheng, Vijay Gadepally, Devesh Tiwari:
AI-Enabling Workloads on Large-Scale GPU-Accelerated System: Characterization, Opportunities, and Implications. HPCA 2022: 1224-1237
[c120]
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Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Kurt Keville, Anna Klein, Peter Michaleas, Lauren Milechin, Guillermo Morales, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner:
pPython for Parallel Python Programming. HPEC 2022: 1-6
[c119]
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Hayden Jananthan, Lauren Milechin, Michael Jones, William Arcand, William Bergeron, David Bestor, Chansup Byun, Michael Houle, Matthew Hubbell, Vijay Gadepally, Anna Klein, Peter Michaleas, Guillermo Morales, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner:
Python Implementation of the Dynamic Distributed Dimensional Data Model. HPEC 2022: 1-8
[c118]
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  - conf/hpec/JonesKABBcDABBB22
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Michael Jones, Jeremy Kepner, Daniel Andersen, Aydin Buluç, Chansup Byun, kc claffy, Timothy Davis, William Arcand, Jonathan Bernays, David Bestor, William Bergeron, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Hayden Jananthan, Anna Klein, Chad R. Meiners, Lauren Milechin, Julie Mullen, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Jon Sreekanth, Doug Stetson, Charles Yee, Peter Michaleas:
GraphBLAS on the Edge: Anonymized High Performance Streaming of Network Traffic. HPEC 2022: 1-8
[c117]
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  - conf/hpec/KawaminamiEEJBD22
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Ivan Kawaminami, Arminda Estrada, Youssef Elsakkary, Hayden Jananthan, Aydin Buluç, Tim Davis, Daniel Grant, Michael Jones, Chad R. Meiners, Andrew Morris, Sandeep Pisharody, Jeremy Kepner:
Large Scale Enrichment and Statistical Cyber Characterization of Network Traffic. HPEC 2022: 1-7
[c116]
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Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner:
AI and ML Accelerator Survey and Trends. HPEC 2022: 1-10
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Tyler Trigg, Chad R. Meiners, Sandeep Pisharody, Hayden Jananthan, Michael Jones, Adam Michaleas, Timothy Davis, Erik Welch, William Arcand, David Bestor, William Bergeron, Chansup Byun, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Doug Stetson, Charles Yee, Jeremy Kepner:
Hypersparse Network Flow Analysis of Packets with GraphBLAS. HPEC 2022: 1-7
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Jeremy Kepner, Michael Jones, Daniel Andersen, Aydin Buluç, Chansup Byun, kc claffy, Timothy Davis, William Arcand, Jonathan Bernays, David Bestor, William Bergeron, Vijay Gadepally, Daniel Grant, Micheal Houle, Matthew Hubbell, Hayden Jananthan, Anna Klein, Chad R. Meiners, Lauren Milechin, Andrew Morris, Julie Mullen, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Doug Stetson, Charles Yee, Peter Michaleas:
Temporal Correlation of Internet Observatories and Outposts. IPDPS Workshops 2022: 247-254
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Benny J. Tang, Qiqi Chen, Matthew L. Weiss, Nathan C. Frey, Joseph McDonald, David Bestor, Charles Yee, William Arcand, William Bergeron, Chansup Byun, Daniel Edelman, Michael Houle, Matthew Hubbell, Michael Jones, Jeremy Kepner, Anna Klein, Adam Michaleas, Peter Michaleas, Lauren Milechin, Julia S. Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Andrew Bowne, Lindsey McEvoy, Baolin Li, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi:
The MIT Supercloud Workload Classification Challenge. IPDPS Workshops 2022: 708-714
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Jeremy Kepner:
Keynote Talk: Large Scale Parallel Sparse Matrix Streaming Graph/Network Analysis. SPAA 2022: 61
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Jeremy Kepner, Kenjiro Cho, kc claffy, Vijay Gadepally, Sarah McGuire, Lauren Milechin, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Michael Jones, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas:
New Phenomena in Large-Scale Internet Traffic. Massive Graph Analytics 2022: 241-285
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Jeremy Kepner, Peter Aaltonen, David A. Bader, Aydin Buluç, Franz Franchetti, John Gilbert, Shana Hutchison, Manoj Kumar, Andrew Lumsdaine, Henning Meyerhenke, Scott McMillan, José E. Moreira, John D. Owens, Carl Yang, Marcin Zalewski, Timothy G. Mattson:
Introduction to GraphBLAS. Massive Graph Analytics 2022: 507-524
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Lauren Milechin, Shana Hutchison, Hayden Jananthan, Jeremy Kepner, Benjamin A. Miller, Andrew Prout, Siddharth Samsi, Charles Yee, Vijay Gadepally:
Graphulo: Linear Algebra Graph Kernels. Massive Graph Analytics 2022: 525-548
[i116]
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Jeremy Kepner, Jonathan Bernays, Stephen Buckley, Kenjiro Cho, Cary Conrad, Leslie Daigle, Keeley Erhardt, Vijay Gadepally, Barry Greene, Michael Jones, Robert Knake, Bruce M. Maggs, Peter Michaleas, Chad R. Meiners, Andrew Morris, Alex Pentland, Sandeep Pisharody, Sarah Powazek, Andrew Prout, Philip Reiner, Koichi Suzuki, Kenji Takahashi, Tony Tauber, Leah Walker, Doug Stetson:
Zero Botnets: An Observe-Pursue-Counter Approach. CoRR abs/2201.06068 (2022)
[i115]
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Jeremy Kepner, Kenjiro Cho, Kimberly C. Claffy, Vijay Gadepally, Sarah McGuire, Lauren Milechin, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Michael Jones, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas:
New Phenomena in Large-Scale Internet Traffic. CoRR abs/2201.06096 (2022)
[i114]
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Jeremy Kepner, Michael Jones, Daniel Andersen, Aydin Buluç, Chansup Byun, Kimberly C. Claffy, Timothy Davis, William Arcand, Jonathan Bernays, David Bestor, William Bergeron, Vijay Gadepally, Daniel Grant, Micheal Houle, Matthew Hubbell, Hayden Jananthan, Anna Klein, Chad R. Meiners, Lauren Milechin, Andrew Morris, Julie Mullen, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Doug Stetson, Charles Yee, Peter Michaleas:
Temporal Correlation of Internet Observatories and Outposts. CoRR abs/2203.10230 (2022)
[i113]
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Michael Jones, Jeremy Kepner, Daniel Andersen, Aydin Buluç, Chansup Byun, Kimberly C. Claffy, Timothy Davis, William Arcand, Jonathan Bernays, David Bestor, William Bergeron, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Hayden Jananthan, Anna Klein, Chad R. Meiners, Lauren Milechin, Julie Mullen, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Jon Sreekanth, Doug Stetson, Charles Yee, Peter Michaleas:
GraphBLAS on the Edge: High Performance Streaming of Network Traffic. CoRR abs/2203.13934 (2022)
[i112]
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Benny J. Tang, Qiqi Chen, Matthew L. Weiss, Nathan C. Frey, Joseph McDonald, David Bestor, Charles Yee, William Arcand, Chansup Byun, Daniel Edelman, Matthew Hubbell, Michael Jones, Jeremy Kepner, Anna Klein, Adam Michaleas, Peter Michaleas, Lauren Milechin, Julia S. Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Andrew Bowne, Lindsey McEvoy, Baolin Li, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi:
The MIT Supercloud Workload Classification Challenge. CoRR abs/2204.05839 (2022)
[i111]
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Vijay Gadepally, Gregory Angelides, Andrei Barbu, Andrew Bowne, Laura J. Brattain, Tamara Broderick, Armando Cabrera, Glenn Carl, Ronisha Carter, Miriam Cha, Emilie Cowen, Jesse Cummings, Bill Freeman, James R. Glass, Sam Goldberg, Mark Hamilton, Thomas Heldt, Kuan Wei Huang, Phillip Isola, Boris Katz, Jamie Koerner, Yen-Chen Lin, David Mayo, Kyle McAlpin, Taylor Perron, Jean E. Piou, Hrishikesh M. Rao, Hayley Reynolds, Kaira Samuel, Siddharth Samsi, Morgan Schmidt, Leslie Shing, Olga Simek, Brandon Swenson, Vivienne Sze, Jonathan Taylor, Paul Tylkin, Mark Veillette, Matthew L. Weiss, Allan B. Wollaber, Sophia Yuditskaya, Jeremy Kepner:
Developing a Series of AI Challenges for the United States Department of the Air Force. CoRR abs/2207.07033 (2022)
[i110]
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Peter Kraft, Qian Li, Kostis Kaffes, Athinagoras Skiadopoulos, Deeptaanshu Kumar, Danny Cho, Jason Li, Robert Redmond, Nathan W. Weckwerth, Brian S. Xia, Peter Bailis, Michael J. Cafarella, Goetz Graefe, Jeremy Kepner, Christos Kozyrakis, Michael Stonebraker, Lalith Suresh, Xiangyao Yu, Matei Zaharia:
Apiary: A DBMS-Backed Transactional Function-as-a-Service Framework. CoRR abs/2208.13068 (2022)
[i109]
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Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Kurt Keville, Anna Klein, Peter Michaleas, Lauren Milechin, Guillermo Morales, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner:
pPython for Parallel Python Programming. CoRR abs/2208.14908 (2022)
[i108]
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Hayden Jananthan, Lauren Milechin, Michael Jones, William Arcand, William Bergeron, David Bestor, Chansup Byun, Michael Houle, Matthew Hubbell, Vijay Gadepally, Anna Klein, Peter Michaleas, Guillermo Morales, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner:
Python Implementation of the Dynamic Distributed Dimensional Data Model. CoRR abs/2209.00602 (2022)
[i107]
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Ivan Kawaminami, Arminda Estrada, Youssef Elsakkary, Hayden Jananthan, Aydin Buluç, Tim Davis, Daniel Grant, Michael Jones, Chad R. Meiners, Andrew Morris, Sandeep Pisharody, Jeremy Kepner:
Large Scale Enrichment and Statistical Cyber Characterization of Network Traffic. CoRR abs/2209.03341 (2022)
[i106]
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Tyler Trigg, Chad R. Meiners, Sandeep Pisharody, Hayden Jananthan, Michael Jones, Adam Michaleas, Timothy Davis, Erik Welch, William Arcand, David Bestor, William Bergeron, Chansup Byun, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Doug Stetson, Charles Yee, Jeremy Kepner:
Hypersparse Network Flow Analysis of Packets with GraphBLAS. CoRR abs/2209.05725 (2022)
[i105]
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  - journals/corr/abs-2210-04055
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Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner:
AI and ML Accelerator Survey and Trends. CoRR abs/2210.04055 (2022)
[i104]
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  - journals/corr/abs-2211-15552
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Kaira Samuel, Matthew LaRosa, Kyle McAlpin, Morgan Schaefer, Brandon Swenson, Devin Wasilefsky, Yan Wu, Dan Zhao, Jeremy Kepner:
AI Enabled Maneuver Identification via the Maneuver Identification Challenge. CoRR abs/2211.15552 (2022)
2021
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Athinagoras Skiadopoulos, Qian Li, Peter Kraft, Kostis Kaffes, Daniel Hong, Shana Mathew, David Bestor, Michael J. Cafarella, Vijay Gadepally, Goetz Graefe, Jeremy Kepner, Christos Kozyrakis, Tim Kraska, Michael Stonebraker, Lalith Suresh, Matei Zaharia:
DBOS: A DBMS-oriented Operating System. Proc. VLDB Endow. 15(1): 21-30 (2021)
[c111]
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Bill Bergeron, Matthew Hubbell, Dylan Sequeira, Winter Williams, William Arcand, David Bestor, Chansup Byun, Vijay Gadepally, Michael Houle, Michael Jones, Anna Klien, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner:
3D Real-Time Supercomputer Monitoring. HPEC 2021: 1-7
[c110]
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Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner:
Node-Based Job Scheduling for Large Scale Simulations of Short Running Jobs. HPEC 2021: 1-7
[c109]
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Jeremy Kepner, Tim Davis, Chansup Byun, William Arcand, David Bestor, William Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas:
Vertical, Temporal, and Horizontal Scaling of Hierarchical Hypersparse GraphBLAS Matrices. HPEC 2021: 1-6
[c108]
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Jeremy Kepner, Michael Jones, Daniel Andersen, Aydin Buluç, Chansup Byun, Kimberly C. Claffy, Timothy Davis, William Arcand, Jonathan Bernays, David Bestor, William Bergeron, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Anna Klein, Chad R. Meiners, Lauren Milechin, Julie Mullen, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Doug Stetson, Adam Tse, Charles Yee, Peter Michaleas:
Spatial Temporal Analysis of 40, 000, 000, 000, 000 Internet Darkspace Packets. HPEC 2021: 1-8
[c107]
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Joseph McDonald, Siddharth Samsi, Daniel Edelman, Chansup Byun, Jeremy Kepner, Vijay Gadepally:
Improved Compression for Word Embeddings by Scaling Principal Components. HPEC 2021: 1-7
[c106]
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Sandeep Pisharody, Jonathan Bernays, Vijay Gadepally, Michael Jones, Jeremy Kepner, Chad R. Meiners, Peter Michaleas, Adam Tse, Doug Stetson:
Realizing Forward Defense in the Cyber Domain. HPEC 2021: 1-7
[c105]
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Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner:
AI Accelerator Survey and Trends. HPEC 2021: 1-9
[c104]
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Siddharth Samsi, Matthew L. Weiss, David Bestor, Baolin Li, Michael Jones, Albert Reuther, Daniel Edelman, William Arcand, Chansup Byun, John Holodnack, Matthew Hubbell, Jeremy Kepner, Anna Klein, Joseph McDonald, Adam Michaleas, Peter Michaleas, Lauren Milechin, Julia S. Mullen, Charles Yee, Benjamin Price, Andrew Prout, Antonio Rosa, Allan Vanterpool, Lindsey McEvoy, Anson Cheng, Devesh Tiwari, Vijay Gadepally:
The MIT Supercloud Dataset. HPEC 2021: 1-8
[c103]
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Kaira Samuel, Vijay Gadepally, David Jacobs, Michael Jones, Kyle McAlpin, Kyle Palko, Ben Paulk, Sid Samsi, Ho Chit Siu, Charles Yee, Jeremy Kepner:
Maneuver Identification Challenge. HPEC 2021: 1-7
[c102]
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Kaira Samuel, Jeremy Kepner, Michael Jones, Lauren Milechin, Vijay Gadepally, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Anna Klein, Victor Lopez, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Sid Samsi, Charles Yee, Peter Michaleas:
Supercomputing Enabled Deployable Analytics for Disaster Response. HPEC 2021: 1-5
[c101]
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Jeremy Kepner, Timothy Davis, Vijay Gadepally, Hayden Jananthan, Lauren Milechin:
Mathematics of Digital Hyperspace. IPDPS Workshops 2021: 263-271
[c100]
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Pat Devlin, Jeremy Kepner, Ashley Luo, Erin Meger:
Hybrid Power-Law Models of Network Traffic. IPDPS Workshops 2021: 280-287
[i103]
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Jeremy Kepner, Timothy Davis, Vijay Gadepally, Hayden Jananthan, Lauren Milechin:
Mathematics of Digital Hyperspace. CoRR abs/2103.15203 (2021)
[i102]
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Pat Devlin, Jeremy Kepner, Ashley Luo, Erin Meger:
Hybrid Power-Law Models of Network Traffic. CoRR abs/2103.15928 (2021)
[i101]
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Siddharth Samsi, Matthew L. Weiss, David Bestor, Baolin Li, Michael Jones, Albert Reuther, Daniel Edelman, William Arcand, Chansup Byun, John Holodnack, Matthew Hubbell, Jeremy Kepner, Anna Klein, Joseph McDonald, Adam Michaleas, Peter Michaleas, Lauren Milechin, Julia S. Mullen, Charles Yee, Benjamin Price, Andrew Prout, Antonio Rosa, Allan Vanterpool, Lindsey McEvoy, Anson Cheng, Devesh Tiwari, Vijay Gadepally:
The MIT Supercloud Dataset. CoRR abs/2108.02037 (2021)
[i100]
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Jeremy Kepner, Tim Davis, Chansup Byun, William Arcand, David Bestor, William Bergeron, Vijay Gadepally, Matthew Hubbell, Michael Houle, Michael Jones, Anna Klein, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas:
Vertical, Temporal, and Horizontal Scaling of Hierarchical Hypersparse GraphBLAS Matrices. CoRR abs/2108.06650 (2021)
[i99]
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Jeremy Kepner, Michael Jones, Daniel Andersen, Aydin Buluç, Chansup Byun, Kimberly C. Claffy, Timothy Davis, William Arcand, Jonathan Bernays, David Bestor, William Bergeron, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Anna Klein, Chad R. Meiners, Lauren Milechin, Julie Mullen, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Doug Stetson, Adam Tse, Charles Yee, Peter Michaleas:
Spatial Temporal Analysis of 40, 000, 000, 000, 000 Internet Darkspace Packets. CoRR abs/2108.06653 (2021)
[i98]
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Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner:
Node-Based Job Scheduling for Large Scale Simulations of Short Running Jobs. CoRR abs/2108.11359 (2021)
[i97]
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Kaira Samuel, Vijay Gadepally, David Jacobs, Michael Jones, Kyle McAlpin, Kyle Palko, Ben Paulk, Sid Samsi, Ho Chit Siu, Charles Yee, Jeremy Kepner:
Maneuver Identification Challenge. CoRR abs/2108.11503 (2021)
[i96]
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Kaira Samuel, Jeremy Kepner, Michael Jones, Lauren Milechin, Vijay Gadepally, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Anna Klein, Victor Lopez, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Sid Samsi, Charles Yee, Peter Michaleas:
Supercomputing Enabled Deployable Analytics for Disaster Response. CoRR abs/2108.11525 (2021)
[i95]
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Bill Bergeron, Matthew Hubbell, Dylan Sequeira, Winter Williams, William Arcand, David Bestor, Chansup Byun, Vijay Gadepally, Michael Houle, Michael Jones, Anna Klien, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner:
3D Real-Time Supercomputer Monitoring. CoRR abs/2109.04532 (2021)
[i94]
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Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner:
AI Accelerator Survey and Trends. CoRR abs/2109.08957 (2021)
[i93]
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Morgan Schaefer, Lauren Michelin, Jeremy Kepner:
Naming Schema for a Human Brain-Scale Neural Network. CoRR abs/2109.10951 (2021)
[i92]
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  - journals/corr/abs-2110-01495
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Sandeep Pisharody, Jonathan Bernays, Vijay Gadepally, Michael Jones, Jeremy Kepner, Chad R. Meiners, Peter Michaleas, Adam Tse, Doug Stetson:
Realizing Forward Defense in the Cyber Domain. CoRR abs/2110.01495 (2021)
2020
[c99]
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Michael J. Cafarella, David J. DeWitt, Vijay Gadepally, Jeremy Kepner, Christos Kozyrakis, Tim Kraska, Michael Stonebraker, Matei Zaharia:
A Polystore Based Database Operating System (DBOS). Poly/DMAH@VLDB 2020: 3-24
[c98]
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Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Andrew C. Kirby, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther:
Best of Both Worlds: High Performance Interactive and Batch Launching. HPEC 2020: 1-7
[c97]
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Vijay Gadepally, Mihailo Isakov, Rashmi S. Agrawal, Jeremy Kepner, Karen Gettings, Michel A. Kinsy:
Homomorphic Encryption Based Secure Sensor Data Processing. HPEC 2020: 1-7
[c96]
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Matthew Hutchinson, Siddharth Samsi, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Micheal Houle, Matthew Hubbell, Michael Jones, Jeremy Kepner, Andrew C. Kirby, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Albert Reuther, Charles Yee, Vijay Gadepally:
Accuracy and Performance Comparison of Video Action Recognition Approaches. HPEC 2020: 1-8
[c95]
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Jeremy Kepner, Simon Alford, Vijay Gadepally, Michael Jones, Lauren Milechin, Albert Reuther, Ryan A. Robinett, Sid Samsi:
GraphChallenge.org Sparse Deep Neural Network Performance. HPEC 2020: 1-7
[c94]
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Jeremy Kepner, Andreas Kipf, Darren Engwirda, Navin Vembar, Michael Jones, Lauren Milechin, Vijay Gadepally, Chris Hill, Tim Kraska, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Andrew C. Kirby, Anna Klein, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Sid Samsi, Charles Yee, Peter Michaleas:
Fast Mapping onto Census Blocks. HPEC 2020: 1-8
[c93]
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Jeremy Kepner, Chad R. Meiners, Chansup Byun, Sarah McGuire, Timothy Davis, William Arcand, Jonathan Bernays, David Bestor, William Bergeron, Vijay Gadepally, Raul Harnasch, Matthew Hubbell, Micheal Houle, Michael Jones, Andrew C. Kirby, Anna Klein, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Doug Stetson, Adam Tse, Charles Yee, Peter Michaleas:
Multi-Temporal Analysis and Scaling Relations of 100, 000, 000, 000 Network Packets. HPEC 2020: 1-6
[c92]
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Andrew C. Kirby, Siddharth Samsi, Michael Jones, Albert Reuther, Jeremy Kepner, Vijay Gadepally:
Layer-Parallel Training with GPU Concurrency of Deep Residual Neural Networks via Nonlinear Multigrid. HPEC 2020: 1-7
[c91]
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Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner:
Survey of Machine Learning Accelerators. HPEC 2020: 1-12
[c90]
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Siddharth Samsi, Jeremy Kepner, Vijay Gadepally, Michael B. Hurley, Michael Jones, Edward K. Kao, Sanjeev Mohindra, Albert Reuther, Steven Thomas Smith, William Song, Diane Staheli, Paul Monticciolo:
GraphChallenge.org Triangle Counting Performance. HPEC 2020: 1-9
[c89]
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Siddharth Samsi, Andrew Prout, Michael Jones, Andrew C. Kirby, Bill Arcand, Bill Bergeron, David Bestor, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Charles Yee, Albert Reuther, Jeremy Kepner:
Benchmarking network fabrics for data distributed training of deep neural networks. HPEC 2020: 1-6
[c88]
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Jeremy Kepner, Tim Davis, Chansup Byun, William Arcand, David Bestor, William Bergeron, Vijay Gadepally, Matthew Hubbell, Michael Houle, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther:
75, 000, 000, 000 Streaming Inserts/Second Using Hierarchical Hypersparse GraphBLAS Matrices. IPDPS Workshops 2020: 207-210
[i91]
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  - journals/corr/abs-2001-06731
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Jeremy Kepner, Vijay Gadepally, Hayden Jananthan, Lauren Milechin, Siddharth Samsi:
AI Data Wrangling with Associative Arrays. CoRR abs/2001.06731 (2020)
[i90]
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Jeremy Kepner, Tim Davis, Chansup Byun, William Arcand, David Bestor, William Bergeron, Vijay Gadepally, Matthew Hubbell, Michael Houle, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther:
75, 000, 000, 000 Streaming Inserts/Second Using Hierarchical Hypersparse GraphBLAS Matrices. CoRR abs/2001.06935 (2020)
[i89]
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  - journals/corr/abs-2003-09269
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Siddharth Samsi, Jeremy Kepner, Vijay Gadepally, Michael B. Hurley, Michael Jones, Edward K. Kao, Sanjeev Mohindra, Albert Reuther, Steven Thomas Smith, William Song, Diane Staheli, Paul Monticciolo:
GraphChallenge.org Triangle Counting Performance. CoRR abs/2003.09269 (2020)
[i88]
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Vijay Gadepally, Jeremy Kepner:
Technical Report: Developing a Working Data Hub. CoRR abs/2004.00190 (2020)
[i87]
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Jeremy Kepner, Simon Alford, Vijay Gadepally, Michael Jones, Lauren Milechin, Albert Reuther, Ryan A. Robinett, Sid Samsi:
GraphChallenge.org Sparse Deep Neural Network Performance. CoRR abs/2004.01181 (2020)
[i86]
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Jeremy Kepner, Darren Engwirda, Vijay Gadepally, Chris Hill, Tim Kraska, Michael Jones, Andreas Kipf, Lauren Milechin, Navin Vembar:
Fast Mapping onto Census Blocks. CoRR abs/2005.03156 (2020)
[i85]
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  - journals/corr/abs-2007-07336
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Andrew C. Kirby, Siddharth Samsi, Michael Jones, Albert Reuther, Jeremy Kepner, Vijay Gadepally:
Layer-Parallel Training with GPU Concurrency of Deep Residual Neural Networks Via Nonlinear Multigrid. CoRR abs/2007.07336 (2020)
[i84]
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Michael J. Cafarella, David J. DeWitt, Vijay Gadepally, Jeremy Kepner, Christos Kozyrakis, Tim Kraska, Michael Stonebraker, Matei Zaharia:
DBOS: A Proposal for a Data-Centric Operating System. CoRR abs/2007.11112 (2020)
[i83]
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Jeremy Kepner, Chad R. Meiners, Chansup Byun, Sarah McGuire, Timothy Davis, William Arcand, Jonathan Bernays, David Bestor, William Bergeron, Vijay Gadepally, Raul Harnasch, Matthew Hubbell, Michael Houle, Michael Jones, Andrew C. Kirby, Anna Klein, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Doug Stetson, Adam Tse, Charles Yee, Peter Michaleas:
Multi-Temporal Analysis and Scaling Relations of 100, 000, 000, 000 Network Packets. CoRR abs/2008.00307 (2020)
[i82]
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  - journals/corr/abs-2008-02223
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Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Andrew C. Kirby, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther:
Best of Both Worlds: High Performance Interactive and Batch Launching. CoRR abs/2008.02223 (2020)
[i81]
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  - journals/corr/abs-2008-08057
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Siddharth Samsi, Andrew Prout, Michael Jones, Andrew C. Kirby, Bill Arcand, Bill Bergeron, David Bestor, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Charles Yee, Albert Reuther, Jeremy Kepner:
Benchmarking network fabrics for data distributed training of deep neural networks. CoRR abs/2008.08057 (2020)
[i80]
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  - journals/corr/abs-2008-09037
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Matthew Hutchinson, Siddharth Samsi, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Michael Houle, Matthew Hubbell, Michael Jones, Jeremy Kepner, Andrew C. Kirby, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Albert Reuther, Charles Yee, Vijay Gadepally:
Accuracy and Performance Comparison of Video Action Recognition Approaches. CoRR abs/2008.09037 (2020)
[i79]
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Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner:
Survey of Machine Learning Accelerators. CoRR abs/2009.00993 (2020)

2010 – 2019

see FAQ

What is the meaning of the colors in the publication lists?

2019
[c87]
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Simon Alford, Ryan A. Robinett, Lauren Milechin, Jeremy Kepner:
Training Behavior of Sparse Neural Network Topologies. HPEC 2019: 1-6
[c86]
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Chansup Byun, Anne Klein, Lauren Milechin, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, Jeremy Kepner, William Arcand, David Bestor, William Bergeron, Matthew Hubbell, Vijay Gadepally, Michael Houle, Michael Jones:
Optimizing Xeon Phi for Interactive Data Analysis. HPEC 2019: 1-6
[c85]
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Chansup Byun, Anna Klein, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones:
Large Scale Parallelization Using File-Based Communications. HPEC 2019: 1-7
[c84]
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Jeremy Kepner, Simon Alford, Vijay Gadepally, Michael Jones, Lauren Milechin, Ryan A. Robinett, Sid Samsi:
Sparse Deep Neural Network Graph Challenge. HPEC 2019: 1-7
[c83]
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Jeremy Kepner, Kenjiro Cho, Kimberly C. Claffy, Vijay Gadepally, Peter Michaleas, Lauren Milechin:
Hypersparse Neural Network Analysis of Large-Scale Internet Traffic. HPEC 2019: 1-11
[c82]
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Jeremy Kepner, Michael Houle, Michael Jones, Anne Klein, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther, Vijay Gadepally, Lauren Milechin, Siddharth Samsi, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell:
Streaming 1.9 Billion Hypersparse Network Updates per Second with D4M. HPEC 2019: 1-6
[c81]
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Andrew Prout, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones:
Securing HPC using Federated Authentication. HPEC 2019: 1-7
[c80]
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Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner:
Survey and Benchmarking of Machine Learning Accelerators. HPEC 2019: 1-9
[c79]
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Rebecca Wild, Matthew Hubbell, Jeremy Kepner:
Optimizing the Visualization Pipeline of a 3-D Monitoring and Management System. HPEC 2019: 1-5
[c78]
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Jeremy Kepner, Ryan A. Robinett:
RadiX-Net: Structured Sparse Matrices for Deep Neural Networks. IPDPS Workshops 2019: 268-274
[c77]
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Pieter Cailliau, Tim Davis, Vijay Gadepally, Jeremy Kepner, Roi Lipman, Jeffrey Lovitz, Keren Ouaknine:
RedisGraph GraphBLAS Enabled Graph Database. IPDPS Workshops 2019: 285-286
[i78]
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  - journals/corr/abs-1902-00846
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Jeremy Kepner, Vijay Gadepally, Lauren Milechin, Siddharth Samsi, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Michael Jones, Anne Klein, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther:
A Billion Updates per Second Using 30, 000 Hierarchical In-Memory D4M Databases. CoRR abs/1902.00846 (2019)
[i77]
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Rebecca Wild, Matthew Hubbell, Jeremy Kepner:
Scaling Big Data Platform for Big Data Pipeline. CoRR abs/1902.03948 (2019)
[i76]
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Julie Mullen, Albert Reuther, William Arcand, Bill Bergeron, David Bestor, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner:
Lessons Learned from a Decade of Providing Interactive, On-Demand High Performance Computing to Scientists and Engineers. CoRR abs/1903.01982 (2019)
[i75]
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Jeremy Kepner, Kenjiro Cho, kc claffy:
New Phenomena in Large-Scale Internet Traffic. CoRR abs/1904.04396 (2019)
[i74]
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Ryan A. Robinett, Jeremy Kepner:
RadiX-Net: Structured Sparse Matrices for Deep Neural Networks. CoRR abs/1905.00416 (2019)
[i73]
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Pieter Cailliau, Tim Davis, Vijay Gadepally, Jeremy Kepner, Roi Lipman, Jeffrey Lovitz, Keren Ouaknine:
RedisGraph GraphBLAS Enabled Graph Database. CoRR abs/1905.01294 (2019)
[i72]
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Vijay Gadepally, Justin Goodwin, Jeremy Kepner, Albert Reuther, Hayley Reynolds, Siddharth Samsi, Jonathan Su, David Martinez:
AI Enabling Technologies: A Survey. CoRR abs/1905.03592 (2019)
[i71]
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Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, William Bergeron, Matthew Hubbell, Vijay Gadepally, Michael Houle, Michael Jones, Anne Klein, Lauren Milechin, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther:
Optimizing Xeon Phi for Interactive Data Analysis. CoRR abs/1907.03195 (2019)
[i70]
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  - journals/corr/abs-1907-04217
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Jeremy Kepner, Vijay Gadepally, Lauren Milechin, Siddharth Samsi, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Michael Jones, Anne Klein, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther:
Streaming 1.9 Billion Hypersparse Network Updates per Second with D4M. CoRR abs/1907.04217 (2019)
[i69]
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  - journals/corr/abs-1908-07573
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Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, Jeremy Kepner:
Securing HPC using Federated Authentication. CoRR abs/1908.07573 (2019)
[i68]
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  - journals/corr/abs-1908-11348
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Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner:
Survey and Benchmarking of Machine Learning Accelerators. CoRR abs/1908.11348 (2019)
[i67]
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  - journals/corr/abs-1909-01241
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Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther:
Large Scale Parallelization Using File-Based Communications. CoRR abs/1909.01241 (2019)
[i66]
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  - journals/corr/abs-1909-05631
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Jeremy Kepner, Simon Alford, Vijay Gadepally, Michael Jones, Lauren Milechin, Ryan A. Robinett, Sid Samsi:
Sparse Deep Neural Network Graph Challenge. CoRR abs/1909.05631 (2019)
2018
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Manoj Kumar, William P. Horn, Jeremy Kepner, José E. Moreira, Pratap Pattnaik:
IBM POWER9 and cognitive computing. IBM J. Res. Dev. 62(4/5): 10:1-10:12 (2018)
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Albert Reuther, Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Matthew Hubbell, Michael Jones, Peter Michaleas, Andrew Prout, Antonio Rosa, Jeremy Kepner:
Scalable system scheduling for HPC and big data. J. Parallel Distributed Comput. 111: 76-92 (2018)
[c76]
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  - conf/embc/Samsi0KR18
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Siddharth Samsi, Michael Jones, Jeremy Kepner, Albert Reuther:
Colorization of H&E stained tissue using Deep Learning. EMBC 2018: 640-643
[c75]
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Michael Jones, Jeremy Kepner, Bradley Orchard, Albert Reuther, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Anna Klein, Lauren Milechin, Julia S. Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas:
Interactive Launch of 16, 000 Microsoft Windows Instances on a Supercomputer. HPEC 2018: 1-6
[c74]
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Vijay Gadepally, Jeremy Kepner, Lauren Milechin, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Michael Jones, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Siddharth Samsi, Albert Reuther:
Hyperscaling Internet Graph Analysis with D4M on the MIT SuperCloud. HPEC 2018: 1-6
[c73]
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  - conf/hpec/KepnerBEGJ0MMOP18
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Jeremy Kepner, Ron Brightwell, Alan Edelman, Vijay Gadepally, Hayden Jananthan, Michael Jones, Sam Madden, Peter Michaleas, Hamed Okhravi, Kevin T. Pedretti, Albert Reuther, Thomas L. Sterling, Mike Stonebraker:
TabulaROSA: Tabular Operating System Architecture for Massively Parallel Heterogeneous Compute Engines. HPEC 2018: 1-8
[c72]
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Jeremy Kepner, Vijay Gadepally, Hayden Jananthan, Lauren Milechin, Sid Samsi:
Sparse Deep Neural Network Exact Solutions. HPEC 2018: 1-8
[c71]
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Lauren Milechin, Vijay Gadepally, Jeremy Kepner:
Database Operations in D4M.j1. HPEC 2018: 1-5
[c70]
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  - conf/hpec/ProutABBBGHH0KM18
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Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, Jeremy Kepner:
Measuring the Impact of Spectre and Meltdown. HPEC 2018: 1-5
[c69]
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Albert Reuther, Jeremy Kepner, Chansup Byun, Siddharth Samsi, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Lauren Milechin, Julia S. Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Peter Michaleas:
Interactive Supercomputing on 40, 000 Cores for Machine Learning and Data Analysis. HPEC 2018: 1-6
[c68]
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Siddharth Samsi, Vijay Gadepally, Michael B. Hurley, Michael Jones, Edward K. Kao, Sanjeev Mohindra, Paul Monticciolo, Albert Reuther, Steven Thomas Smith, William Song, Diane Staheli, Jeremy Kepner:
GraphChallenge.org: Raising the Bar on Graph Analytic Performance. HPEC 2018: 1-7
[c67]
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Siddharth Samsi, Bea Yu, Darrell O. Ricke, Philip Fremont-Smith, Jeremy Kepner, Albert Reuther:
Large-Scale Bayesian Kinship Analysis. HPEC 2018: 1-4
[c66]
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Jeremy Kepner, Siddharth Samsi, William Arcand, David Bestor, Bill Bergeron, Tim Davis, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Anna Klein, Peter Michaleas, Roger Pearce, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Geoffrey Sanders, Charles Yee, Albert Reuther:
Design, Generation, and Validation of Extreme Scale Power-Law Graphs. IPDPS Workshops 2018: 279-286
[c65]
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Geoffrey Sanders, Roger Pearce, Timothy La Fond, Jeremy Kepner:
On Large-Scale Graph Generation with Validation of Diverse Triangle Statistics at Edges and Vertices. IPDPS Workshops 2018: 287-296
[c64]
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Julia S. Mullen, Albert Reuther, William Arcand, Bill Bergeron, David Bestor, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner:
Lessons Learned from a Decade of Providing Interactive, On-Demand High Performance Computing to Scientists and Engineers. ISC Workshops 2018: 655-668
[i65]
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Jeremy Kepner, Siddharth Samsi, William Arcand, David Bestor, Bill Bergeron, Tim Davis, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Anna Klein, Peter Michaleas, Roger Pearce, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Geoffrey Sanders, Charles Yee, Albert Reuther:
Design, Generation, and Validation of Extreme Scale Power-Law Graphs. CoRR abs/1803.01281 (2018)
[i64]
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Geoffrey Sanders, Roger Pearce, Timothy La Fond, Jeremy Kepner:
On Large-Scale Graph Generation with Validation of Diverse Triangle Statistics at Edges and Vertices. CoRR abs/1803.09021 (2018)
[i63]
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  - journals/corr/abs-1805-09675
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Siddharth Samsi, Vijay Gadepally, Michael B. Hurley, Michael Jones, Edward K. Kao, Sanjeev Mohindra, Paul Monticciolo, Albert Reuther, Steven Thomas Smith, William Song, Diane Staheli, Jeremy Kepner:
GraphChallenge.org: Raising the Bar on Graph Analytic Performance. CoRR abs/1805.09675 (2018)
[i62]
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Jeremy Kepner, Vijay Gadepally, Hayden Jananthan, Lauren Milechin, Siddharth Samsi:
Sparse Deep Neural Network Exact Solutions. CoRR abs/1807.03165 (2018)
[i61]
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Jeremy Kepner, Ron Brightwell, Alan Edelman, Vijay Gadepally, Hayden Jananthan, Michael Jones, Sam Madden, Peter Michaleas, Hamed Okhravi, Kevin T. Pedretti, Albert Reuther, Thomas L. Sterling, Mike Stonebraker:
TabulaROSA: Tabular Operating System Architecture for Massively Parallel Heterogeneous Compute Engines. CoRR abs/1807.05308 (2018)
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Albert Reuther, Jeremy Kepner, Chansup Byun, Siddharth Samsi, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Lauren Milechin, Julia S. Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Peter Michaleas:
Interactive Supercomputing on 40, 000 Cores for Machine Learning and Data Analysis. CoRR abs/1807.07814 (2018)
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Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, Jeremy Kepner:
Measuring the Impact of Spectre and Meltdown. CoRR abs/1807.08703 (2018)
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Michael Jones, Jeremy Kepner, Bradley Orchard, Albert Reuther, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Anna Klein, Lauren Milechin, Julia S. Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas:
Interactive Launch of 16, 000 Microsoft Windows Instances on a Supercomputer. CoRR abs/1808.04345 (2018)
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Lauren Milechin, Vijay Gadepally, Jeremy Kepner:
Database Operations in D4M.jl. CoRR abs/1808.05138 (2018)
[i56]
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Vijay Gadepally, Jeremy Kepner, Lauren Milechin, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Michael Jones, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Siddharth Samsi, Albert Reuther:
Hyperscaling Internet Graph Analysis with D4M on the MIT SuperCloud. CoRR abs/1808.08353 (2018)
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Ryan A. Robinett, Jeremy Kepner:
Neural Network Topologies for Sparse Training. CoRR abs/1809.05242 (2018)
[i54]
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Jessica S. Titensky, Hayden Jananthan, Jeremy Kepner:
Uncertainty Propagation in Deep Neural Networks Using Extended Kalman Filtering. CoRR abs/1809.06009 (2018)
[i53]
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Simon Alford, Ryan A. Robinett, Lauren Milechin, Jeremy Kepner:
Pruned and Structurally Sparse Neural Networks. CoRR abs/1810.00299 (2018)
2017
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Julia S. Mullen, Chansup Byun, Vijay Gadepally, Siddharth Samsi, Albert Reuther, Jeremy Kepner:
Learning by doing, High Performance Computing education in the MOOC era. J. Parallel Distributed Comput. 105: 105-115 (2017)
[c63]
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Hayden Jananthan, Ziqi Zhou, Vijay Gadepally, Dylan Hutchison, Suna Kim, Jeremy Kepner:
Polystore mathematics of relational algebra. IEEE BigData 2017: 3180-3189
[c62]
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Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther:
Benchmarking data analysis and machine learning applications on the Intel KNL many-core processor. HPEC 2017: 1-6
[c61]
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Vijay Gadepally, Kyle O'Brien, Adam Dziedzic, Aaron J. Elmore, Jeremy Kepner, Samuel Madden, Tim Mattson, Jennie Rogers, Zuohao She, Michael Stonebraker:
BigDAWG version 0.1. HPEC 2017: 1-7
[c60]
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Michael Jones, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Peter Michaleas, Andrew Prout, Albert Reuther, Siddharth Samsi, Paul Monticiollo:
Performance measurements of supercomputing and cloud storage solutions. HPEC 2017: 1-5
[c59]
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Edward K. Kao, Vijay Gadepally, Michael B. Hurley, Michael Jones, Jeremy Kepner, Sanjeev Mohindra, Paul Monticciolo, Albert Reuther, Siddharth Samsi, William Song, Diane Staheli, Steven Thomas Smith:
Streaming graph challenge: Stochastic block partition. HPEC 2017: 1-12
[c58]
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Jeremy Kepner, Manoj Kumar, José E. Moreira, Pratap Pattnaik, Mauricio J. Serrano, Henry M. Tufo:
Enabling massive deep neural networks with the GraphBLAS. HPEC 2017: 1-10
[c57]
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Lauren Milechin, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner, Alexander Chen, Dylan Hutchison:
D4M 3.0: Extended database and language capabilities. HPEC 2017: 1-6
[c56]
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Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Michael Houle, Michael Jones, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Albert Reuther, Jeremy Kepner:
MIT SuperCloud portal workspace: Enabling HPC web application deployment. HPEC 2017: 1-6
[c55]
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Siddharth Samsi, Vijay Gadepally, Michael B. Hurley, Michael Jones, Edward K. Kao, Sanjeev Mohindra, Paul Monticciolo, Albert Reuther, Steven Thomas Smith, William Song, Diane Staheli, Jeremy Kepner:
Static graph challenge: Subgraph isomorphism. HPEC 2017: 1-6
[c54]
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Siddharth Samsi, Brian S. Helfer, Jeremy Kepner, Albert Reuther, Darrell O. Ricke:
A linear algebra approach to fast DNA mixture analysis using GPUs. HPEC 2017: 1-6
[c53]
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Hayden Jananthan, Karia Dibert, Jeremy Kepner:
Constructing Adjacency Arrays from Incidence Arrays. IPDPS Workshops 2017: 608-615
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Jian-Yun Nie, Zoran Obradovic, Toyotaro Suzumura, Rumi Ghosh, Raghunath Nambiar, Chonggang Wang, Hui Zang, Ricardo Baeza-Yates, Xiaohua Hu, Jeremy Kepner, Alfredo Cuzzocrea, Jian Tang, Masashi Toyoda:
2017 IEEE International Conference on Big Data (IEEE BigData 2017), Boston, MA, USA, December 11-14, 2017. IEEE Computer Society 2017, ISBN 978-1-5386-2715-0 [contents]
[i52]
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Connor Sell, Jeremy Kepner:
Non-Negative Matrix Factorization Test Cases. CoRR abs/1701.00016 (2017)
[i51]
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Kyle O'Brien, Vijay Gadepally, Jennie Duggan, Adam Dziedzic, Aaron J. Elmore, Jeremy Kepner, Samuel Madden, Tim Mattson, Zuohao She, Michael Stonebraker:
BigDAWG Polystore Release and Demonstration. CoRR abs/1701.05799 (2017)
[i50]
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Lauren Milechin, Alexander Chen, Vijay Gadepally, Dylan Hutchison, Siddharth Samsi, Jeremy Kepner:
D4M 3.0. CoRR abs/1702.03253 (2017)
[i49]
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Hayden Jananthan, Karia Dibert, Jeremy Kepner:
Constructing Adjacency Arrays from Incidence Arrays. CoRR abs/1702.07832 (2017)
[i48]
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Albert Reuther, Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Matthew Hubbell, Michael Jones, Peter Michaleas, Andrew Prout, Antonio Rosa, Jeremy Kepner:
Scalable System Scheduling for HPC and Big Data. CoRR abs/1705.03102 (2017)
[i47]
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Siddharth Samsi, Brian S. Helfer, Jeremy Kepner, Albert Reuther, Darrell O. Ricke:
A Linear Algebra Approach to Fast DNA Mixture Analysis Using GPUs. CoRR abs/1707.00516 (2017)
[i46]
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Vijay Gadepally, Kyle O'Brien, Adam Dziedzic, Aaron J. Elmore, Jeremy Kepner, Samuel Madden, Tim Mattson, Jennie Rogers, Zuohao She, Michael Stonebraker:
Version 0.1 of the BigDAWG Polystore System. CoRR abs/1707.00721 (2017)
[i45]
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Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther:
Benchmarking Data Analysis and Machine Learning Applications on the Intel KNL Many-Core Processor. CoRR abs/1707.03515 (2017)
[i44]
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Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Michael Houle, Michael Jones, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Albert Reuther, Jeremy Kepner:
MIT SuperCloud Portal Workspace: Enabling HPC Web Application Deployment. CoRR abs/1707.05900 (2017)
[i43]
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Michael Jones, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Peter Michaleas, Andrew Prout, Albert Reuther, Siddharth Samsi, Paul Monticiollo:
Performance Measurements of Supercomputing and Cloud Storage Solutions. CoRR abs/1708.00544 (2017)
[i42]
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Lauren Milechin, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner, Alexander Chen, Dylan Hutchison:
D4M 3.0: Extended Database and Language Capabilities. CoRR abs/1708.02934 (2017)
[i41]
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Jeremy Kepner, Manoj Kumar, José E. Moreira, Pratap Pattnaik, Mauricio J. Serrano, Henry M. Tufo:
Enabling Massive Deep Neural Networks with the GraphBLAS. CoRR abs/1708.02937 (2017)
[i40]
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Siddharth Samsi, Vijay Gadepally, Michael B. Hurley, Michael Jones, Edward K. Kao, Sanjeev Mohindra, Paul Monticciolo, Albert Reuther, Steven Thomas Smith, William S. Song, Diane Staheli, Jeremy Kepner:
Static Graph Challenge: Subgraph Isomorphism. CoRR abs/1708.06866 (2017)
[i39]
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Edward K. Kao, Vijay Gadepally, Michael B. Hurley, Michael Jones, Jeremy Kepner, Sanjeev Mohindra, Paul Monticciolo, Albert Reuther, Siddharth Samsi, William Song, Diane Staheli, Steven Thomas Smith:
Streaming Graph Challenge: Stochastic Block Partition. CoRR abs/1708.07883 (2017)
[i38]
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Hayden Jananthan, Ziqi Zhou, Vijay Gadepally, Dylan Hutchison, Suna Kim, Jeremy Kepner:
Polystore Mathematics of Relational Algebra. CoRR abs/1712.00802 (2017)
2016
[c52]
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Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther:
LLMapReduce: Multi-level map-reduce for high performance data analysis. HPEC 2016: 1-8
[c51]
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Alexander Chen, Alan Edelman, Jeremy Kepner, Vijay Gadepally, Dylan Hutchison:
Julia implementation of the Dynamic Distributed Dimensional Data Model. HPEC 2016: 1-7
[c50]
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Vijay Gadepally, Peinan Chen, Jennie Duggan, Aaron J. Elmore, Brandon Haynes, Jeremy Kepner, Samuel Madden, Tim Mattson, Michael Stonebraker:
The BigDAWG polystore system and architecture. HPEC 2016: 1-6
[c49]
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Dylan Hutchison, Jeremy Kepner, Vijay Gadepally, Bill Howe:
From NoSQL Accumulo to NewSQL Graphulo: Design and utility of graph algorithms inside a BigTable database. HPEC 2016: 1-9
[c48]
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Mike Jones, Bill Arcand, Bill Bergeron, David Bestor, Chansup Byun, Lauren Milechin, Vijay Gadepally, Matthew Hubbell, Jeremy Kepner, Peter Michaleas, Julie Mullen, Andy Prout, Tony Rosa, Siddharth Samsi, Charles Yee, Albert Reuther:
Scalability of VM provisioning systems. HPEC 2016: 1-5
[c47]
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Jeremy Kepner, Peter Aaltonen, David A. Bader, Aydin Buluç, Franz Franchetti, John R. Gilbert, Dylan Hutchison, Manoj Kumar, Andrew Lumsdaine, Henning Meyerhenke, Scott McMillan, Carl Yang, John D. Owens, Marcin Zalewski, Timothy G. Mattson, José E. Moreira:
Mathematical foundations of the GraphBLAS. HPEC 2016: 1-9
[c46]
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Jeremy Kepner, Vijay Gadepally, Dylan Hutchison, Hayden Jananthan, Timothy G. Mattson, Siddharth Samsi, Albert Reuther:
Associative array model of SQL, NoSQL, and NewSQL databases. HPEC 2016: 1-9
[c45]
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Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Michael Houle, Michael Jones, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Albert Reuther, Jeremy Kepner:
Enhancing HPC security with a user-based firewall. HPEC 2016: 1-4
[c44]
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Albert Reuther, Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Matthew Hubbell, Michael Jones, Peter Michaleas, Andrew Prout, Antonio Rosa, Jeremy Kepner:
Scheduler technologies in support of high performance data analysis. HPEC 2016: 1-6
[c43]
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Siddharth Samsi, Laura J. Brattain, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Jeremy Kepner, Albert Reuther:
Benchmarking SciDB data import on HPC systems. HPEC 2016: 1-5
[c42]
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William S. Song, Vitaliy Gleyzer, Alexei Lomakin, Jeremy Kepner:
Novel graph processor architecture, prototype system, and results. HPEC 2016: 1-7
[c41]
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Timothy Weale, Vijay Gadepally, Dylan Hutchison, Jeremy Kepner:
Benchmarking the graphulo processing framework. HPEC 2016: 1-5
[c40]
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Brendan Gavin, Vijay Gadepally, Jeremy Kepner:
Enforced Sparse Non-negative Matrix Factorization. IPDPS Workshops 2016: 902-911
[c39]
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Patrick Dreher, Chansup Byun, Chris Hill, Vijay Gadepally, Bradley C. Kuszmaul, Jeremy Kepner:
PageRank Pipeline Benchmark: Proposal for a Holistic System Benchmark for Big-Data Platforms. IPDPS Workshops 2016: 929-937
[i37]
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Vijay Gadepally, Jennie Duggan, Aaron J. Elmore, Jeremy Kepner, Samuel Madden, Tim Mattson, Michael Stonebraker:
The BigDAWG Architecture. CoRR abs/1602.08791 (2016)
[i36]
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Patrick Dreher, Chansup Byun, Chris Hill, Vijay Gadepally, Bradley C. Kuszmaul, Jeremy Kepner:
PageRank Pipeline Benchmark: Proposal for a Holistic System Benchmark for Big-Data Platforms. CoRR abs/1603.01876 (2016)
[i35]
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Jeremy Kepner, Peter Aaltonen, David A. Bader, Aydin Buluç, Franz Franchetti, John R. Gilbert, Dylan Hutchison, Manoj Kumar, Andrew Lumsdaine, Henning Meyerhenke, Scott McMillan, José E. Moreira, John D. Owens, Carl Yang, Marcin Zalewski, Timothy G. Mattson:
Mathematical Foundations of the GraphBLAS. CoRR abs/1606.05790 (2016)
[i34]
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Mike Jones, Bill Arcand, Bill Bergeron, David Bestor, Chansup Byun, Lauren Milechin, Vijay Gadepally, Matthew Hubbell, Jeremy Kepner, Peter Michaleas, Julie Mullen, Andy Prout, Tony Rosa, Siddharth Samsi, Charles Yee, Albert Reuther:
Scalability of VM Provisioning Systems. CoRR abs/1606.05794 (2016)
[i33]
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Jeremy Kepner, Vijay Gadepally, Dylan Hutchison, Hayden Jananthan, Timothy G. Mattson, Siddharth Samsi, Albert Reuther:
Associative Array Model of SQL, NoSQL, and NewSQL Databases. CoRR abs/1606.05797 (2016)
[i32]
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Dylan Hutchison, Jeremy Kepner, Vijay Gadepally, Bill Howe:
From NoSQL Accumulo to NewSQL Graphulo: Design and Utility of Graph Algorithms inside a BigTable Database. CoRR abs/1606.07085 (2016)
[i31]
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Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Michael Houle, Michael Jones, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Albert Reuther, Jeremy Kepner:
Enhancing HPC Security with a User-Based Firewall. CoRR abs/1607.02982 (2016)
[i30]
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William S. Song, Vitaliy Gleyzer, Alexei Lomakin, Jeremy Kepner:
Novel Graph Processor Architecture, Prototype System, and Results. CoRR abs/1607.06541 (2016)
[i29]
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Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther:
LLMapReduce: Multi-Level Map-Reduce for High Performance Data Analysis. CoRR abs/1607.06543 (2016)
[i28]
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Albert Reuther, Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Matthew Hubbell, Michael Jones, Peter Michaleas, Andrew Prout, Antonio Rosa, Jeremy Kepner:
Scheduler Technologies in Support of High Performance Data Analysis. CoRR abs/1607.06544 (2016)
[i27]
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Alexander Chen, Alan Edelman, Jeremy Kepner, Vijay Gadepally, Dylan Hutchison:
Julia Implementation of the Dynamic Distributed Dimensional Data Model. CoRR abs/1608.04041 (2016)
[i26]
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Siddharth Samsi, Laura J. Brattain, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Jeremy Kepner, Albert Reuther:
Benchmarking SciDB Data Import on HPC Systems. CoRR abs/1609.07545 (2016)
[i25]
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Vijay Gadepally, Peinan Chen, Jennie Duggan, Aaron J. Elmore, Brandon Haynes, Jeremy Kepner, Samuel Madden, Tim Mattson, Michael Stonebraker:
The BigDAWG Polystore System and Architecture. CoRR abs/1609.07548 (2016)
[i24]
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Timothy Weale, Vijay Gadepally, Dylan Hutchison, Jeremy Kepner:
Benchmarking the Graphulo Processing Framework. CoRR abs/1609.08642 (2016)
2015
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Aaron J. Elmore, Jennie Duggan, Mike Stonebraker, Magdalena Balazinska, Ugur Çetintemel, Vijay Gadepally, Jeffrey Heer, Bill Howe, Jeremy Kepner, Tim Kraska, Samuel Madden, David Maier, Timothy G. Mattson, Stavros Papadopoulos, Jeff Parkhurst, Nesime Tatbul, Manasi Vartak, Stan Zdonik:
A Demonstration of the BigDAWG Polystore System. Proc. VLDB Endow. 8(12): 1908-1911 (2015)
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Jennie Duggan, Aaron J. Elmore, Michael Stonebraker, Magdalena Balazinska, Bill Howe, Jeremy Kepner, Sam Madden, David Maier, Tim Mattson, Stanley B. Zdonik:
The BigDAWG Polystore System. SIGMOD Rec. 44(2): 11-16 (2015)
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Vijay Gadepally, Jeremy Kepner:
Using a Power Law distribution to describe big data. HPEC 2015: 1-5
[c37]
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Vijay Gadepally, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Lauren Edwards, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther:
D4M: Bringing associative arrays to database engines. HPEC 2015: 1-6
[c36]
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Kimberly Glass, John Quackenbush, Jeremy Kepner:
High performance computing of gene regulatory networks using a message-passing model. HPEC 2015: 1-6
[c35]
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Matthew Hubbell, Andrew Moran, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Peter Michaleas, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Charles Yee, Jeremy Kepner:
Big Data strategies for Data Center Infrastructure management using a 3D gaming platform. HPEC 2015: 1-6
[c34]
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Dylan Hutchison, Jeremy Kepner, Vijay Gadepally, Adam Fuchs:
Graphulo implementation of server-side sparse matrix multiply in the Accumulo database. HPEC 2015: 1-7
[c33]
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Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Lauren Edwards, Vijay Gadepally, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther:
Lustre, hadoop, accumulo. HPEC 2015: 1-5
[c32]
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Jeremy Kepner, Vijay Gadepally, Braden Hancock, Peter Michaleas, Elizabeth Michel, Mayank Varia:
Parallel vectorized algebraic AES in Matlab for rapid prototyping of encrypted sensor processing algorithms and database analytics. HPEC 2015: 1-8
[c31]
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Andrew Moran, Vijay Gadepally, Matthew Hubbell, Jeremy Kepner:
Improving Big Data visual analytics with interactive virtual reality. HPEC 2015: 1-6
[c30]
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Andrew Prout, Jeremy Kepner, Peter Michaleas, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Lauren Edwards, Vijay Gadepally, Matthew Hubbell, Julie Mullen, Antonio Rosa, Charles Yee, Albert Reuther:
Enabling on-demand database computing with MIT SuperCloud database management system. HPEC 2015: 1-6
[c29]
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Jeremy Kepner, David A. Bader, Aydin Buluç, John R. Gilbert, Timothy G. Mattson, Henning Meyerhenke:
Graphs, Matrices, and the GraphBLAS: Seven Good Reasons. ICCS 2015: 2453-2462
[c28]
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Vijay Gadepally, Jake Bolewski, Dan Hook, Dylan Hutchison, Benjamin A. Miller, Jeremy Kepner:
Graphulo: Linear Algebra Graph Kernels for NoSQL Databases. IPDPS Workshops 2015: 822-830
[i23]
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Ashley Mae Conard, Stephanie Dodson, Jeremy Kepner, Darrell O. Ricke:
Using a Big Data Database to Identify Pathogens in Protein Data Space. CoRR abs/1501.05546 (2015)
[i22]
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Jeremy Kepner, Julian Chaidez, Vijay Gadepally, Hayden Jansen:
Associative Arrays: Unified Mathematics for Spreadsheets, Databases, Matrices, and Graphs. CoRR abs/1501.05709 (2015)
[i21]
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Jeremy Kepner, David A. Bader, Aydin Buluç, John R. Gilbert, Timothy G. Mattson, Henning Meyerhenke:
Graphs, Matrices, and the GraphBLAS: Seven Good Reasons. CoRR abs/1504.01039 (2015)
[i20]
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Vijay Gadepally, Braden Hancock, Benjamin Kaiser, Jeremy Kepner, Peter Michaleas, Mayank Varia, Arkady Yerukhimovich:
Computing on Masked Data to improve the Security of Big Data. CoRR abs/1504.01287 (2015)
[i19]
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Jeremy Kepner, Vijay Gadepally, Braden Hancock, Peter Michaleas, Elizabeth Michel, Mayank Varia:
Parallel Vectorized Algebraic AES in MATLAB for Rapid Prototyping of Encrypted Sensor Processing Algorithms and Database Analytics. CoRR abs/1506.08503 (2015)
[i18]
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Matthew Hubbell, Andrew Moran, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Peter Michaleas, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Charles Yee, Jeremy Kepner:
Big Data Strategies for Data Center Infrastructure Management Using a 3D Gaming Platform. CoRR abs/1506.08505 (2015)
[i17]
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Andrew Prout, Jeremy Kepner, Peter Michaleas, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Lauren Edwards, Vijay Gadepally, Matthew Hubbell, Julie Mullen, Antonio Rosa, Charles Yee, Albert Reuther:
Enabling On-Demand Database Computing with MIT SuperCloud Database Management System. CoRR abs/1506.08506 (2015)
[i16]
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Andrew Moran, Vijay Gadepally, Matthew Hubbell, Jeremy Kepner:
Improving Big Data Visual Analytics with Interactive Virtual Reality. CoRR abs/1506.08754 (2015)
[i15]
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Dylan Hutchison, Jeremy Kepner, Vijay Gadepally, Adam Fuchs:
Graphulo Implementation of Server-Side Sparse Matrix Multiply in the Accumulo Database. CoRR abs/1507.01066 (2015)
[i14]
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Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Lauren Edwards, Vijay Gadepally, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther:
Lustre, Hadoop, Accumulo. CoRR abs/1507.02357 (2015)
[i13]
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Vijay Gadepally, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Lauren Edwards, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther:
D4M: Bringing Associative Arrays to Database Engines. CoRR abs/1508.07371 (2015)
[i12]
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Vijay Gadepally, Jake Bolewski, Dan Hook, Dylan Hutchison, Benjamin A. Miller, Jeremy Kepner:
Graphulo: Linear Algebra Graph Kernels for NoSQL Databases. CoRR abs/1508.07372 (2015)
[i11]
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Vijay Gadepally, Jeremy Kepner:
Using a Power Law Distribution to describe Big Data. CoRR abs/1509.00504 (2015)
[i10]
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Karia Dibert, Hayden Jansen, Jeremy Kepner:
Algebraic Conditions for Generating Accurate Adjacency Arrays. CoRR abs/1510.05179 (2015)
[i9]
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Brendan Gavin, Vijay Gadepally, Jeremy Kepner:
Large Enforced Sparse Non-Negative Matrix Factorization. CoRR abs/1510.05237 (2015)
2014
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Stephanie Dodson, Darrell O. Ricke, Jeremy Kepner:
Genetic sequence matching using D4M big data approaches. HPEC 2014: 1-6
[c26]
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Vijay Gadepally, Jeremy Kepner:
Big data dimensional analysis. HPEC 2014: 1-6
[c25]
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Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Charles Yee:
Achieving 100, 000, 000 database inserts per second using Accumulo and D4M. HPEC 2014: 1-6
[c24]
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Jeremy Kepner, Vijay Gadepally, Peter Michaleas, Nabil Schear, Mayank Varia, Arkady Yerukhimovich, Robert K. Cunningham:
Computing on masked data: a high performance method for improving big data veracity. HPEC 2014: 1-6
[c23]
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Tim Mattson, David A. Bader, Aydin Buluç, John R. Gilbert, Joseph Gonzalez, Jeremy Kepner:
GABB Introduction. IPDPS Workshops 2014: 1135-1137
[i8]
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Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Charles Yee:
Achieving 100, 000, 000 database inserts per second using Accumulo and D4M. CoRR abs/1406.4923 (2014)
[i7]
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Jeremy Kepner, Vijay Gadepally, Peter Michaleas, Nabil Schear, Mayank Varia, Arkady Yerukhimovich, Robert K. Cunningham:
Computing on Masked Data: a High Performance Method for Improving Big Data Veracity. CoRR abs/1406.5751 (2014)
[i6]
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Jeremy Kepner, Christian Anderson, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Matthew Hubbell, Peter Michaleas, Julie Mullen, B. David O'Gwynn, Andrew Prout, Albert Reuther, Antonio Rosa, Charles Yee:
D4M 2.0 Schema: A General Purpose High Performance Schema for the Accumulo Database. CoRR abs/1407.3859 (2014)
[i5]
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Tim Mattson, David A. Bader, Jonathan W. Berry, Aydin Buluç, Jack J. Dongarra, Christos Faloutsos, John Feo, John R. Gilbert, Joseph Gonzalez, Bruce Hendrickson, Jeremy Kepner, Charles E. Leiserson, Andrew Lumsdaine, David A. Padua, Stephen W. Poole, Steven P. Reinhardt, Mike Stonebraker, Steve Wallach, Andrew Yoo:
Standards for Graph Algorithm Primitives. CoRR abs/1408.0393 (2014)
[i4]
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Vijay Gadepally, Jeremy Kepner:
Big Data Dimensional Analysis. CoRR abs/1408.0517 (2014)
[i3]
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Jeremy Kepner, Vijay Gadepally, Peter Michaleas:
Percolation Model of Insider Threats to Assess the Optimum Number of Rules. CoRR abs/1412.8699 (2014)
2013
[c22]
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Jeremy Kepner, Christian Anderson, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Matthew Hubbell, Peter Michaleas, Julie Mullen, B. David O'Gwynn, Andrew Prout, Albert Reuther, Antonio Rosa, Charles Yee:
D4M 2.0 schema: A general purpose high performance schema for the Accumulo database. HPEC 2013: 1-6
[c21]
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Tim Mattson, David A. Bader, Jonathan W. Berry, Aydin Buluç, Jack J. Dongarra, Christos Faloutsos, John Feo, John R. Gilbert, Joseph Gonzalez, Bruce Hendrickson, Jeremy Kepner, Charles E. Leiserson, Andrew Lumsdaine, David A. Padua, Stephen Poole, Steven P. Reinhardt, Mike Stonebraker, Steve Wallach, Andrew Yoo:
Standards for graph algorithm primitives. HPEC 2013: 1-2
[c20]
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Albert Reuther, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa:
LLSuperCloud: Sharing HPC systems for diverse rapid prototyping. HPEC 2013: 1-6
[c19]
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Viral B. Shah, Alan Edelman, Stefan Karpinski, Jeff Bezanson, Jeremy Kepner:
Novel algebras for advanced analytics in Julia. HPEC 2013: 1-4
2012
[c18]
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Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Matthew Hubbell, Jeremy Kepner, Andrew McCabe, Peter Michaleas, Julie Mullen, B. David O'Gwynn, Andrew Prout, Albert Reuther, Antonio Rosa, Charles Yee:
Driving big data with big compute. HPEC 2012: 1-6
[c17]
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Matthew Hubbell, Jeremy Kepner:
Large scale network situational awareness via 3D gaming technology. HPEC 2012: 1-5
[c16]
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Andrew Prout, William Arcand, David Bestor, Chansup Byun, Bill Bergeron, Matthew Hubbell, Jeremy Kepner, Peter Michaleas, Julie Mullen, Albert Reuther, Antonio Rosa:
Scalable cryptographic authentication for high performance computing. HPEC 2012: 1-2
[c15]
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Albert Reuther, Peter Michaleas, Andrew Prout, Jeremy Kepner:
HPC-VMs: Virtual machines in high performance computing systems. HPEC 2012: 1-6
[c14]
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Benjamin A. Miller, Nicholas Arcolano, Michelle S. Beard, Jeremy Kepner, Matthew C. Schmidt, Nadya T. Bliss, Patrick J. Wolfe:
A scalable signal processing architecture for massive graph analysis. ICASSP 2012: 5329-5332
[c13]
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Jeremy Kepner, William Arcand, William Bergeron, Nadya T. Bliss, Robert Bond, Chansup Byun, Gary Condon, Kenneth Gregson, Matthew Hubbell, Jonathan Kurz, Andrew McCabe, Peter Michaleas, Andrew Prout, Albert Reuther, Antonio Rosa, Charles Yee:
Dynamic distributed dimensional data model (D4M) database and computation system. ICASSP 2012: 5349-5352
[c12]
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Michael Stonebraker, Anastasia Ailamaki, Jeremy Kepner, Alexander S. Szalay:
The Future of Scientific Data Bases. ICDE 2012: 7-8
2011
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Jeremy Kepner:
Graphs and Matrices. Graph Algorithms in the Language of Linear Algebra 2011: 3-12
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Eric Robinson, Jeremy Kepner, John R. Gilbert:
Linear Algebraic Notation and Definitions. Graph Algorithms in the Language of Linear Algebra 2011: 13-18
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Jeremy Kepner:
Subgraph Detection. Graph Algorithms in the Language of Linear Algebra 2011: 115-133
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Jeremy Kepner:
The Kronecker Theory of Power Law Graphs. Graph Algorithms in the Language of Linear Algebra 2011: 205-240
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Huy N. Nguyen, Jeremy Kepner, Alan Edelman:
Visualizing Large Kronecker Graphs. Graph Algorithms in the Language of Linear Algebra 2011: 241-250
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Jeremy Kepner, David A. Bader, Robert Bond, Nadya T. Bliss, Christos Faloutsos, Bruce Hendrickson, John R. Gilbert, Eric Robinson:
Fundamental Questions in the Analysis of Large Graphs. Graph Algorithms in the Language of Linear Algebra 2011: 353-357
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Jeremy Kepner, John R. Gilbert:
Graph Algorithms in the Language of Linear Algebra. Software, environments, tools 22, SIAM 2011, ISBN 978-0-89871-990-1 [contents]

2000 – 2009

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What is the meaning of the colors in the publication lists?

2009
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Jeremy Kepner:
Parallel MATLAB - for Multicore and Multinode Computers. Software, environments, tools 21, SIAM 2009, ISBN 978-0-89871-673-3, pp. I-XXV, 1-253
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Julie Mullen, Nadya Travinin Bliss, Robert Bond, Jeremy Kepner, Hahn Kim, Albert Reuther:
High-Productivity Software Development with pMatlab. Comput. Sci. Eng. 11(1): 75-79 (2009)
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Albert Reuther, Jeremy Kepner:
Rapid prototyping of radar algorithms [Applications Corner]. IEEE Signal Process. Mag. 26(6): 158-162 (2009)
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Andrew Mastin, Jeremy Kepner, John W. Fisher III:
Automatic registration of LIDAR and optical images of urban scenes. CVPR 2009: 2639-2646
2008
[c10]
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Jeremy Kepner:
Multicore programming in pMatlab using distributed arrays. CLADE 2008: 59-60
2007
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Jeremy Kepner, Hans P. Zima:
Preface. Int. J. High Perform. Comput. Appl. 21(3): 249-250 (2007)
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Nadya Travinin Bliss, Jeremy Kepner:
'pMATLAB Parallel MATLAB Library'. Int. J. High Perform. Comput. Appl. 21(3): 336-359 (2007)
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Nadya T. Bliss, Jeremy Kepner, Hahn Kim, Albert Reuther:
pMATLAB: Parallel MATLAB Library for Signal Processing Applications. ICASSP (4) 2007: 1189-1192
2006
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Jack J. Dongarra, Jeremy Kepner:
HPC challenge - The 2006 HPC challenge awards. SC 2006: 4
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Allan Snavely, Jeremy Kepner:
99% utilization - Is 99% utilization of a supercomputer a good thing? SC 2006: 37
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Jeremy Kepner, Bob Lucas, Mootaz Elnozahy, Jim Mitchell, Steve Scott:
High productivity - High productivity computing and usable petascale systems. SC 2006: 67
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Piotr Luszczek, David H. Bailey, Jack J. Dongarra, Jeremy Kepner, Robert F. Lucas, Rolf Rabenseifner, Daisuke Takahashi:
S12 - The HPC Challenge (HPCC) benchmark suite. SC 2006: 213
2005
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James M. Lebak, Jeremy Kepner, Henry Hoffmann, Edward Rutledge:
Parallel VSIPL++: An Open Standard Software Library for High-Performance Parallel Signal Processing. Proc. IEEE 93(2): 313-330 (2005)
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Hahn Kim, Jeremy Kepner, Crystal Kahn:
Parallel Out-of-Core Matlab for Extreme Virtual Memory. CLUSTER 2005: 1
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Nadya Travinin, Henry Hoffmann, Robert Bond, Hector Chan, Jeremy Kepner, Edmund Wong:
Automatic Parallelization with pMapper. CLUSTER 2005: 1-2
2004
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Jeremy Kepner:
HPC Productivity: An Overarching View. Int. J. High Perform. Comput. Appl. 18(4): 393-397 (2004)
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Jeremy Kepner:
High Performance Computing Productivity Model Synthesis. Int. J. High Perform. Comput. Appl. 18(4): 505-516 (2004)
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Jeremy Kepner, Stanley C. Ahalt:
MatlabMPI. J. Parallel Distributed Comput. 64(8): 997-1005 (2004)
2003
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Jeremy Kepner, Rita Kim:
Cluster Detection in Databases: The Adaptive Matched Filter Algorithm and Implementation. Data Min. Knowl. Discov. 7(1): 57-79 (2003)
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Jeremy Kepner:
A multi-threaded fast convolver for dynamically parallel image filtering. J. Parallel Distributed Comput. 63(3): 360-372 (2003)
2001
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Daniel S. Katz, Jeremy Kepner:
Embedded/Real-Time Systems. Int. J. High Perform. Comput. Appl. 15(2): 186-190 (2001)
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Edward Rutledge, Jeremy Kepner:
PVL: An Object Oriented Software Library for Parallel Signal Processing. CLUSTER 2001: 74
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James M. Lebak, Jim Daly, Hank Hoffmann, Jeremy Kepner, Jan Matlis, Patrick Richardson, Edward Rutledge, Glenn Schrader:
Software fault recovery for real-time signal processing on massively parallel computers. PP 2001
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Jeremy Kepner:
A Multi-Threaded Fast Convolver for Dynamically Parallel Image Filtering. CoRR astro-ph/0107084 (2001)
2000
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Jeremy Kepner, Maya B. Gokhale, Ron Minnich, Aaron Marks, John DeGood:
Interfacing interpreted and compiled languages to support applications on a massively parallel network of workstations (MP-NOW). Clust. Comput. 3(1): 35-44 (2000)

1990 – 1999

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1999
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Jeremy Kepner, Maya B. Gokhale, Ron Minnich, Aaron Marks, John DeGood:
Interfacing Interpreted and Compiled Languages to Support Applications on a Massively Parallel Network of Workstations (MP-NOW). CoRR astro-ph/9912134 (1999)

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