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ORCIDJack Sampson
John Sampson – John (Jack) Morgan Sampson
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- affiliation: Pennsylvania State University, USA
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2020 – today
- 2024
[j28]Tianyi Shen
, Cyan Subhra Mishra, Jack Sampson, Mahmut Taylan Kandemir, Vijaykrishnan Narayanan:
An Efficient Edge-Cloud Partitioning of Random Forests for Distributed Sensor Networks. IEEE Embed. Syst. Lett. 16(1): 21-24 (2024)- [j27]Kaiming Huang, Mathias Payer, Zhiyun Qian, Jack Sampson, Gang Tan, Trent Jaeger:
Comprehensive Memory Safety Validation: An Alternative Approach to Memory Safety. IEEE Secur. Priv. 22(4): 40-49 (2024) - [c82]Philip Wootaek Shin, Ajay Narayanan Sridhar, Jack Sampson, Vijaykrishnan Narayanan:
A Generative Exploration of Cuisine Transfer. CVPR Workshops 2024: 3732-3740 - [c81]Cyan Subhra Mishra, Jack Sampson, Mahmut Taylan Kandemir, Vijaykrishnan Narayanan, Chita R. Das:
Usas: A Sustainable Continuous-Learning' Framework for Edge Servers. HPCA 2024: 891-907 - [i8]Philip Wootaek Shin, Jihyun Janice Ahn, Wenpeng Yin, Jack Sampson, Vijaykrishnan Narayanan:
Can Prompt Modifiers Control Bias? A Comparative Analysis of Text-to-Image Generative Models. CoRR abs/2406.05602 (2024) - [i7]Sanaz Mahmoodi Takaghaj, Jack Sampson:
Exemplar LCA-Decoder: A Scalable Framework for On-Chip Learning. CoRR abs/2406.10066 (2024) - [i6]Sanaz Mahmoodi Takaghaj, Jack Sampson:
Rouser: Robust SNN training using adaptive threshold learning. CoRR abs/2407.19566 (2024) - [i5]Cyan Subhra Mishra, Deeksha Chaudhary, Jack Sampson, Mahmut Taylan Knademir, Chita Das:
Revisiting DNN Training for Intermittently Powered Energy Harvesting Micro Computers. CoRR abs/2408.13696 (2024) - [i4]Cyan Subhra Mishra, Jack Sampson, Mahmut Taylan Kandmeir, Vijaykrishnan Narayanan, Chita R. Das:
Synergistic and Efficient Edge-Host Communication for Energy Harvesting Wireless Sensor Networks. CoRR abs/2408.14379 (2024) - 2023
- [c80]Aditya Basu, John Sampson, Zhiyun Qian, Trent Jaeger:
Unsafe at Any Copy: Name Collisions from Mixing Case Sensitivities. FAST 2023: 183-198 - [c79]Ahmed Burak Gulhan, Gulsum Gudukbay Akbulut, Amit Amritkar, Jack Sampson, Vasant Honovar, Adam Focht, Chuck Pavloski, Mahmut T. Kandemir:
License Forecasting and Scheduling for HPC. MASCOTS 2023: 1-8 - [c78]Kaiming Huang, Jack Sampson, Trent Jaeger:
Assessing the Impact of Efficiently Protecting Ten Million Stack Objects from Memory Errors Comprehensively. SecDev 2023: 67-74 - [i3]Kaiming Huang, Mathias Payer, Zhiyun Qian, Jack Sampson, Gang Tan, Trent Jaeger:
Top of the Heap: Efficient Memory Error Protection for Many Heap Objects. CoRR abs/2310.06397 (2023) - 2022
- [c77]Sethu Jose, John Sampson, Vijaykrishnan Narayanan, Mahmut Taylan Kandemir:
A Scheduling Framework for Decomposable Kernels on Energy Harvesting IoT Edge Nodes. ACM Great Lakes Symposium on VLSI 2022: 91-96 - [c76]Saambhavi Baskaran, Mahmut Taylan Kandemir, Jack Sampson:
An architecture interface and offload model for low-overhead, near-data, distributed accelerators. MICRO 2022: 1160-1177 - [c75]Kaiming Huang, Yongzhe Huang, Mathias Payer, Zhiyun Qian, Jack Sampson, Gang Tan, Trent Jaeger:
The Taming of the Stack: Isolating Stack Data from Memory Errors. NDSS 2022 - [i2]Cyan Subhra Mishra, Jack Sampson, Mahmut Taylan Kandemir, Vijaykrishnan Narayanan:
Seeker: Synergizing Mobile and Energy Harvesting Wearable Sensors for Human Activity Recognition. CoRR abs/2204.13106 (2022) - [i1]Aditya Basu, John Sampson, Zhiyun Qian, Trent Jaeger:
Unsafe at Any Copy: Name Collisions from Mixing Case Sensitivities. CoRR abs/2211.16735 (2022) - 2021
- [j26]Keni Qiu, Nicholas Jao, Kunyu Zhou, Yongpan Liu, Jack Sampson, Mahmut Taylan Kandemir, Vijaykrishnan Narayanan:
MaxTracker: Continuously Tracking the Maximum Computation Progress for Energy Harvesting ReRAM-based CNN Accelerators. ACM Trans. Embed. Comput. Syst. 20(5s): 78:1-78:23 (2021) - [j25]Saambhavi Baskaran, Jack Sampson:
Evaluation of Tradeoffs in the Design of FPGA Fabrics Using Electrostrictive 2-D FETs. IEEE Trans. Very Large Scale Integr. Syst. 29(4): 691-701 (2021) - [j24]Nicholas Jao, Akshay Krishna Ramanathan, John Sampson, Vijaykrishnan Narayanan:
Sparse Vector-Matrix Multiplication Acceleration in Diode-Selected Crossbars. IEEE Trans. Very Large Scale Integr. Syst. 29(12): 2186-2196 (2021) - [c74]Cyan Subhra Mishra, Jack Sampson, Mahmut Taylan Kandemir, Vijaykrishnan Narayanan:
Origin: Enabling On-Device Intelligence for Human Activity Recognition Using Energy Harvesting Wireless Sensor Networks. DATE 2021: 1414-1419 - [c73]Vineetha Govindaraj, Sumitha George, Mahmut T. Kandemir, John Sampson, Vijaykrishnan Narayanan:
PowerPrep: A power management proposal for user-facing datacenter workloads. NAS 2021: 1-7 - [c72]Huaipan Jiang, Haibo Zhang, Xulong Tang, Vineetha Govindaraj, Jack Sampson, Mahmut Taylan Kandemir, Danfeng Zhang:
Fluid: a framework for approximate concurrency via controlled dependency relaxation. PLDI 2021: 252-267 - 2020
- [j23]Skyler Anderson, Nagadastagiri Challapalle, John Sampson, Vijaykrishnan Narayanan:
Adaptive Neural Network Architectures for Power Aware Inference. IEEE Des. Test 37(2): 66-75 (2020) - [j22]S. R. Swamy Saranam Chongala, Sumitha George, Hariram Thirucherai Govindarajan, Jagadish Kotra, Madhu Mutyam, John Sampson, Mahmut T. Kandemir, Vijaykrishnan Narayanan:
Optimization of Intercache Traffic Entanglement in Tagless Caches With Tiling Opportunities. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 3881-3892 (2020) - [j21]Nagadastagiri Challapalle, Sahithi Rampalli, Nicholas Jao, Akshay Krishna Ramanathan, John Sampson, Vijaykrishnan Narayanan:
FARM: A Flexible Accelerator for Recurrent and Memory Augmented Neural Networks. J. Signal Process. Syst. 92(11): 1247-1261 (2020) - [c71]Minli Julie Liao, Jack Sampson:
Emerging memories as enablers for in-memory layout transformation acceleration and virtualization. ASP-DAC 2020: 414-421 - [c70]Nagadastagiri Challapalle, Sahithi Rampalli, Makesh Chandran, Gurpreet S. Kalsi, Sreenivas Subramoney, John Sampson, Vijaykrishnan Narayanan:
PSB-RNN: A Processing-in-Memory Systolic Array Architecture using Block Circulant Matrices for Recurrent Neural Networks. DATE 2020: 180-185 - [c69]Keni Qiu, Nicholas Jao, Mengying Zhao, Cyan Subhra Mishra, Gulsum Gudukbay, Sethu Jose, Jack Sampson, Mahmut Taylan Kandemir, Vijaykrishnan Narayanan:
ResiRCA: A Resilient Energy Harvesting ReRAM Crossbar-Based Accelerator for Intelligent Embedded Processors. HPCA 2020: 315-327 - [c68]Nagadastagiri Challapalle, Sahithi Rampalli, Linghao Song, Nandhini Chandramoorthy, Karthik Swaminathan, John Sampson, Yiran Chen, Vijaykrishnan Narayanan:
GaaS-X: Graph Analytics Accelerator Supporting Sparse Data Representation using Crossbar Architectures. ISCA 2020: 433-445 - [c67]Sumitha George, Nicholas Jao, Akshay Krishna Ramanathan, Xueqing Li, Sumeet Kumar Gupta, John Sampson, Vijaykrishnan Narayanan:
Integrated CAM-RAM Functionality using Ferroelectric FETs. ISQED 2020: 81-86 - [c66]Eric Homan, Chonghan Lee, Jack Sampson, John P. Sustersic, Vijaykrishnan Narayanan:
DoubtNet: Using Semantic Context to Enable Adaptive Inference for the IoT. ISVLSI 2020: 586-591 - [c65]Saambhavi Baskaran, Jack Sampson:
Decentralized Offload-based Execution on Memory-centric Compute Cores. MEMSYS 2020: 61-76 - [c64]Minli Julie Liao, Jack Sampson:
D-SOAP: Dynamic Spatial Orientation Affinity Prediction for Caching in Multi-Orientation Memory Systems. MICRO 2020: 581-595
2010 – 2019
- 2019
- [j20]Xueqing Li, Juejian Wu, Kai Ni, Sumitha George, Kaisheng Ma, John Sampson, Sumeet Kumar Gupta, Yongpan Liu, Huazhong Yang, Suman Datta, Vijaykrishnan Narayanan:
Design of 2T/Cell and 3T/Cell Nonvolatile Memories with Emerging Ferroelectric FETs. IEEE Des. Test 36(3): 39-45 (2019) - [j19]Jinhang Choi, Zeinab Hakimi, John Sampson, Vijaykrishnan Narayanan:
Byzantine-Tolerant Inference in Distributed Deep Intelligent System: Challenges and Opportunities. IEEE J. Emerg. Sel. Topics Circuits Syst. 9(3): 509-519 (2019) - [j18]Srivatsa Rangachar Srinivasa, Akshay Krishna Ramanathan, Xueqing Li, Wei-Hao Chen, Sumeet Kumar Gupta, Meng-Fan Chang, Swaroop Ghosh, Jack Sampson, Vijaykrishnan Narayanan:
ROBIN: Monolithic-3D SRAM for Enhanced Robustness with In-Memory Computation Support. IEEE Trans. Circuits Syst. I Regul. Pap. 66-I(7): 2533-2545 (2019) - [c63]Jinhang Choi, Zeinab Hakimi, Philip Wootaek Shin, Jack Sampson, Vijaykrishnan Narayanan:
Context-Aware Convolutional Neural Network over Distributed System in Collaborative Computing. DAC 2019: 211 - [c62]Nicholas Jao, Akshay Krishna Ramanathan, Abhronil Sengupta, John Sampson, Vijaykrishnan Narayanan:
Programmable Non-Volatile Memory Design Featuring Reconfigurable In-Memory Operations. ISCAS 2019: 1-5 - [c61]Srivatsa Rangachar Srinivasa, Wei-Hao Chen, Yung-Ning Tu, Meng-Fan Chang, Jack Sampson, Vijaykrishnan Narayanan:
Monolithic-3D Integration Augmented Design Techniques for Computing in SRAMs. ISCAS 2019: 1-5 - [c60]Nicholas Jao, Srivatsa Srivinasa, Akshay Krishna Ramanathan, Minhwan Kim, John Sampson, Vijaykrishnan Narayanan:
Technology-Assisted Computing-In-Memory Design for Matrix Multiplication Workloads. NANOARCH 2019: 1-6 - [c59]Philip Wootaek Shin, Jack Sampson, Vijaykrishnan Narayanan:
Context-Aware Collaborative Object Recognition For Distributed Multi Camera Time Series Data. SoICT 2019: 154-161 - 2018
- [j17]Kaisheng Ma, Jinyang Li, Xueqing Li, Yongpan Liu, Yuan Xie, Mahmut T. Kandemir, Jack Sampson, Vijaykrishnan Narayanan:
IAA: Incidental Approximate Architectures for Extremely Energy-Constrained Energy Harvesting Scenarios using IoT Nonvolatile Processors. IEEE Micro 38(4): 11-19 (2018) - [j16]Srivatsa Rangachar Srinivasa, Xueqing Li, Meng-Fan Chang, John Sampson, Sumeet Kumar Gupta, Vijaykrishnan Narayanan:
Compact 3-D-SRAM Memory With Concurrent Row and Column Data Access Capability Using Sequential Monolithic 3-D Integration. IEEE Trans. Very Large Scale Integr. Syst. 26(4): 671-683 (2018) - [j15]Sumitha George, Xueqing Li, Minli Julie Liao, Kaisheng Ma, Srivatsa Rangachar Srinivasa, Karthik Mohan, Ahmedullah Aziz, John Sampson, Sumeet Kumar Gupta, Vijaykrishnan Narayanan:
Symmetric 2-D-Memory Access to Multidimensional Data. IEEE Trans. Very Large Scale Integr. Syst. 26(6): 1040-1050 (2018) - [c58]Kaisheng Ma, Xueqing Li, Mahmut Taylan Kandemir, Jack Sampson, Vijaykrishnan Narayanan, Jinyang Li, Tongda Wu, Zhibo Wang, Yongpan Liu, Yuan Xie:
NEOFog: Nonvolatility-Exploiting Optimizations for Fog Computing. ASPLOS 2018: 782-796 - [c57]Jinhang Choi, Jack Sampson, Vijaykrishnan Narayanan:
Heuristic Approximation of Early-Stage CNN Data Representation for Vision Intelligence Systems. ICCD 2018: 218-225 - [c56]Peter A. Zientara, Jinhang Choi, Jack Sampson, Vijaykrishnan Narayanan:
Drones as collaborative sensors for image recognition. ICCE 2018: 1-4 - [c55]Jinhang Choi, Kevin M. Irick, Justin Hardin, Weichao Qiu, Alan L. Yuille, Jack Sampson, Vijaykrishnan Narayanan:
Stochastic Functional Verification of DNN Design through Progressive Virtual Dataset Generation. ISCAS 2018: 1-5 - [c54]Srivatsa Rangachar Srinivasa, Akshay Krishna Ramanathan, Xueqing Li, Wei-Hao Chen, Fu-Kuo Hsueh, Chih-Chao Yang, Chang-Hong Shen, Jia-Min Shieh, Sumeet Kumar Gupta, Meng-Fan Marvin Chang, Swaroop Ghosh, Jack Sampson, Vijaykrishnan Narayanan:
A Monolithic-3D SRAM Design with Enhanced Robustness and In-Memory Computation Support. ISLPED 2018: 34:1-34:6 - [c53]Jinhang Choi, Srivatsa Rangachar Srinivasa, Yasuki Tanabe, Jack Sampson, Vijaykrishnan Narayanan:
A Power-Efficient Hybrid Architecture Design for Image Recognition Using CNNs. ISVLSI 2018: 22-27 - [c52]Nicholas Jao, Akshay Krishna Ramanathan, Srivatsa Rangachar Srinivasa, Sumitha George, John Sampson, Vijaykrishnan Narayanan:
Harnessing Emerging Technology for Compute-in-Memory Support. ISVLSI 2018: 447-452 - [c51]Sumitha George, Minli Julie Liao, Huaipan Jiang, Jagadish B. Kotra, Mahmut T. Kandemir, Jack Sampson, Vijaykrishnan Narayanan:
MDACache: Caching for Multi-Dimensional-Access Memories. MICRO 2018: 841-854 - [c50]Peter A. Zientara, Jack Sampson, Vijaykrishnan Narayanan:
Noise Aware Power Adaptive Partitioned Deep Networks for Mobile Visual Assist Platforms. SoCC 2018: 186-191 - 2017
- [j14]Siddharth Advani, Peter A. Zientara, Nikhil Shukla, Ikenna Okafor, Kevin M. Irick, Jack Sampson, Suman Datta, Vijaykrishnan Narayanan:
A Multitask Grocery Assist System for the Visually Impaired: Smart glasses, gloves, and shopping carts provide auditory and tactile feedback. IEEE Consumer Electron. Mag. 6(1): 73-81 (2017) - [j13]Wei-Yu Tsai, Davis R. Barch, Andrew S. Cassidy, Michael V. DeBole, Alexander Andreopoulos, Bryan L. Jackson, Myron D. Flickner, John V. Arthur, Dharmendra S. Modha, John Sampson, Vijaykrishnan Narayanan:
Always-On Speech Recognition Using TrueNorth, a Reconfigurable, Neurosynaptic Processor. IEEE Trans. Computers 66(6): 996-1007 (2017) - [j12]Xueqing Li, Sumitha George, Kaisheng Ma, Wei-Yu Tsai, Ahmedullah Aziz, John Sampson, Sumeet Kumar Gupta, Meng-Fan Chang, Yongpan Liu, Suman Datta, Vijaykrishnan Narayanan:
Advancing Nonvolatile Computing With Nonvolatile NCFET Latches and Flip-Flops. IEEE Trans. Circuits Syst. I Regul. Pap. 64-I(11): 2907-2919 (2017) - [j11]Kaisheng Ma, Xueqing Li, Huichu Liu, Xiao Sheng, Yiqun Wang, Karthik Swaminathan, Yongpan Liu, Yuan Xie, John Sampson, Vijaykrishnan Narayanan:
Dynamic Power and Energy Management for Energy Harvesting Nonvolatile Processor Systems. ACM Trans. Embed. Comput. Syst. 16(4): 107:1-107:23 (2017) - [c49]Kaisheng Ma, Xueqing Li, Srivatsa Rangachar Srinivasa, Yongpan Liu, John Sampson, Yuan Xie, Vijaykrishnan Narayanan:
Spendthrift: Machine learning based resource and frequency scaling for ambient energy harvesting nonvolatile processors. ASP-DAC 2017: 678-683 - [c48]Wei-Yu Tsai, Jinhang Choi, Tulika Parija, Priyanka Gomatam, Chita R. Das, John Sampson, Vijaykrishnan Narayanan:
Co-training of Feature Extraction and Classification using Partitioned Convolutional Neural Networks. DAC 2017: 58:1-58:6 - [c47]Kate D. Fischl, Kaitlin Lindsay Fair, Wei-Yu Tsai, Jack Sampson, Andreas G. Andreou:
Path planning on the TrueNorth neurosynaptic system. ISCAS 2017: 1-4 - [c46]Kaisheng Ma, Minli Julie Liao, Xueqing Li, Zhixuan Huan, Jack Sampson:
Evaluating tradeoffs in granularity and overheads in supporting nonvolatile execution semantics. ISQED 2017: 39-44 - [c45]Srivatsa Rangachar Srinivasa, Karthik Mohan, Wei-Hao Chen, Kuo-Hsinag Hsu, Xueqing Li, Meng-Fan Chang, Sumeet Kumar Gupta, John Sampson, Vijaykrishnan Narayanan:
Improving FPGA Design with Monolithic 3D Integration Using High Dense Inter-Stack Via. ISVLSI 2017: 128-133 - [c44]Kaisheng Ma, Xueqing Li, Jinyang Li, Yongpan Liu, Yuan Xie, Jack Sampson, Mahmut Taylan Kandemir, Vijaykrishnan Narayanan:
Incidental computing on IoT nonvolatile processors. MICRO 2017: 204-218 - 2016
- [j10]Moon Seok Kim, William Cane-Wissing, Xueqing Li, Jack Sampson, Suman Datta, Sumeet Kumar Gupta, Vijaykrishnan Narayanan:
Comparative Area and Parasitics Analysis in FinFET and Heterojunction Vertical TFET Standard Cells. ACM J. Emerg. Technol. Comput. Syst. 12(4): 38:1-38:23 (2016) - [j9]Kaisheng Ma, Xueqing Li, Karthik Swaminathan, Yang Zheng, Shuangchen Li, Yongpan Liu, Yuan Xie, John (Jack) Morgan Sampson, Vijaykrishnan Narayanan:
Nonvolatile Processor Architectures: Efficient, Reliable Progress with Unstable Power. IEEE Micro 36(3): 72-83 (2016) - [j8]Wei-Yu Tsai, Xueqing Li, Matthew Jerry, Baihua Xie, Nikhil Shukla, Huichu Liu, Nandhini Chandramoorthy, Matthew Cotter, Arijit Raychowdhury, Donald M. Chiarulli, Steven P. Levitan, Suman Datta, John Sampson, Nagarajan Ranganathan, Vijaykrishnan Narayanan:
Enabling New Computation Paradigms with HyperFET - An Emerging Device. IEEE Trans. Multi Scale Comput. Syst. 2(1): 30-48 (2016) - [j7]Moon Seok Kim, Xueqing Li, Huichu Liu, John Sampson, Suman Datta, Vijaykrishnan Narayanan:
Exploration of Low-Power High-SFDR Current-Steering D/A Converter Design Using Steep-Slope Heterojunction Tunnel FETs. IEEE Trans. Very Large Scale Integr. Syst. 24(6): 2299-2309 (2016) - [j6]Yang Xiao, Siddharth Advani, Donghwa Shin, Naehyuck Chang, Jack Sampson, Vijaykrishnan Narayanan:
A Saliency-Driven LCD Power Management System. IEEE Trans. Very Large Scale Integr. Syst. 24(8): 2689-2702 (2016) - [c43]Sumitha George, Kaisheng Ma, Ahmedullah Aziz, Xueqing Li, Asif Islam Khan, Sayeef S. Salahuddin, Meng-Fan Chang, Suman Datta, John Sampson, Sumeet Kumar Gupta, Vijaykrishnan Narayanan:
Nonvolatile memory design based on ferroelectric FETs. DAC 2016: 118:1-118:6 - [c42]Wei-Yu Tsai, Davis R. Barch, Andrew S. Cassidy, Michael V. DeBole, Alexander Andreopoulos, Bryan L. Jackson, Myron D. Flickner, Dharmendra S. Modha, Jack Sampson, Vijaykrishnan Narayanan:
LATTE: Low-power Audio Transform with TrueNorth Ecosystem. IJCNN 2016: 4270-4277 - [c41]Hsiang-Yun Cheng, Jishen Zhao, Jack Sampson, Mary Jane Irwin, Aamer Jaleel, Yu Lu, Yuan Xie:
LAP: Loop-Block Aware Inclusion Properties for Energy-Efficient Asymmetric Last Level Caches. ISCA 2016: 103-114 - [c40]Meng-Fan Chang, Ching-Hao Chuang, Yen-Ning Chiang, Shyh-Shyuan Sheu, Chia-Chen Kuo, Hsiang-Yun Cheng, John Sampson, Mary Jane Irwin:
Designs of emerging memory based non-volatile TCAM for Internet-of-Things (IoT) and big-data processing: A 5T2R universal cell. ISCAS 2016: 1142-1145 - [c39]Sumitha George, Ahmedullah Aziz, Xueqing Li, Moon Seok Kim, Suman Datta, John Sampson, Sumeet Kumar Gupta, Vijaykrishnan Narayanan:
Device Circuit Co Design of FEFET Based Logic for Low Voltage Processors. ISVLSI 2016: 649-654 - [c38]Xueqing Li, Kaisheng Ma, Sumitha George, John Sampson, Vijaykrishnan Narayanan:
Enabling Internet-of-Things: Opportunities brought by emerging devices, circuits, and architectures. VLSI-SoC 2016: 1-6 - [c37]Xueqing Li, Kaisheng Ma, Sumitha George, John Sampson, Vijaykrishnan Narayanan:
Enabling Internet-of-Things with Opportunities Brought by Emerging Devices, Circuits and Architectures. VLSI-SoC (Selected Papers) 2016: 1-23 - 2015
- [j5]Kaisheng Ma, Xueqing Li, Shuangchen Li, Yongpan Liu, John (Jack) Morgan Sampson, Yuan Xie, Vijaykrishnan Narayanan:
Nonvolatile Processor Architecture Exploration for Energy-Harvesting Applications. IEEE Micro 35(5): 32-40 (2015) - [j4]Hsiang-Yun Cheng, Matt Poremba, Narges Shahidi, Ivan Stalev, Mary Jane Irwin, Mahmut T. Kandemir, Jack Sampson, Yuan Xie:
EECache: A Comprehensive Study on the Architectural Design for Energy-Efficient Last-Level Caches in Chip Multiprocessors. ACM Trans. Archit. Code Optim. 12(2): 17:1-17:22 (2015) - [c36]Kevin M. Irick, Peter A. Zientara, Jack Sampson, Vijaykrishnan Narayanan:
Cognitive cameras: Assistive vision systems. CASES 2015: 188 - [c35]Hsiang-Yun Cheng, Jia Zhan, Jishen Zhao, Yuan Xie, Jack Sampson, Mary Jane Irwin:
Core vs. uncore: the heart of darkness. DAC 2015: 121:1-121:6 - [c34]Yongpan Liu, Zewei Li, Hehe Li, Yiqun Wang, Xueqing Li, Kaisheng Ma, Shuangchen Li, Meng-Fan Chang, John Sampson, Yuan Xie, Jiwu Shu, Huazhong Yang:
Ambient energy harvesting nonvolatile processors: from circuit to system. DAC 2015: 150:1-150:6 - [c33]Siddharth Advani, Brigid Smith, Yasuki Tanabe, Kevin M. Irick, Matthew Cotter, Jack Sampson, Vijaykrishnan Narayanan:
Visual co-occurrence network: using context for large-scale object recognition in retail. ESTIMedia 2015: 1-10 - [c32]Siddharth Advani, Yasuki Tanabe, Kevin M. Irick, Jack Sampson, Vijaykrishnan Narayanan:
A scalable architecture for multi-class visual object detection. FPL 2015: 1-8 - [c31]Nandhini Chandramoorthy, Giuseppe Tagliavini, Kevin M. Irick, Antonio Pullini, Siddharth Advani, Sulaiman Al Habsi, Matthew Cotter, John Sampson, Vijaykrishnan Narayanan, Luca Benini:
Exploring architectural heterogeneity in intelligent vision systems. HPCA 2015: 1-12 - [c30]Kaisheng Ma, Yang Zheng, Shuangchen Li, Karthik Swaminathan, Xueqing Li, Yongpan Liu, Jack Sampson, Yuan Xie, Vijaykrishnan Narayanan:
Architecture exploration for ambient energy harvesting nonvolatile processors. HPCA 2015: 526-537 - [c29]Kaisheng Ma, Xueqing Li, Yongpan Liu, John Sampson, Yuan Xie, Vijaykrishnan Narayanan:
Dynamic Machine Learning Based Matching of Nonvolatile Processor Microarchitecture to Harvested Energy Profile. ICCAD 2015: 670-675 - [c28]Moon Seok Kim, William Cane-Wissing, Jack Sampson, Suman Datta, Vijaykrishnan Narayanan, Sumeet Kumar Gupta:
Comparing Energy, Area, Delay Tradeoffs in Going Vertical with CMOS and Asymmetric HTFETs. ISVLSI 2015: 303-308 - [c27]Kaisheng Ma, Nandhini Chandramoorthy, Xueqing Li, Sumeet Kumar Gupta, John Sampson, Yuan Xie, Vijaykrishnan Narayanan:
Using Multiple-Input NEMS for Parallel A/D Conversion and Image Processing. ISVLSI 2015: 339-344 - [c26]Karthik Swaminathan, Jagadish Kotra, Huichu Liu, Jack Sampson, Mahmut T. Kandemir, Vijaykrishnan Narayanan:
Thermal-Aware Application Scheduling on Device-Heterogeneous Embedded Architectures. VLSID 2015: 221-226 - 2014
- [j3]Qiaoshi Zheng, Nathan Goulding-Hotta, Scott Ricketts, Steven Swanson, Michael Bedford Taylor, Jack Sampson:
Exploring Energy Scalability in Coprocessor-Dominated Architectures for Dark Silicon. ACM Trans. Embed. Comput. Syst. 13(4s): 130:1-130:24 (2014) - [c25]Karthik Swaminathan, Huichu Liu, Xueqing Li, Moon Seok Kim, Jack Sampson, Vijaykrishnan Narayanan:
Steep Slope Devices: Enabling New Architectural Paradigms. DAC 2014: 114:1-114:6 - [c24]Karthik Swaminathan, Moon Seok Kim, Nandhini Chandramoorthy, Behnam Sedighi, Robert Perricone, Jack Sampson, Vijaykrishnan Narayanan:
Modeling steep slope devices: From circuits to architectures. DATE 2014: 1-6 - [c23]Chris S. Lee, Kevin M. Irick, John Sampson, Vijaykrishnan Narayanan:
Data driven adaptation for QoS aware embedded vision systems. GlobalSIP 2014: 69-72 - [c22]Yang Xiao, Kevin M. Irick, Jack Sampson, Vijaykrishnan Narayanan, Chuanjun Zhang:
A task-oriented vision system. ACM Great Lakes Symposium on VLSI 2014: 181-186 - [c21]Matthew Cotter, Siddharth Advani, Jack Sampson, Kevin M. Irick, Vijaykrishnan Narayanan:
A hardware accelerated multilevel visual classifier for embedded visual-assist systems. ICCAD 2014: 96-100 - [c20]Siddharth Advani, Nandhini Chandramoorthy, Karthik Swaminathan, Kevin M. Irick, Yong Cheol Peter Cho, Jack Sampson, Vijaykrishnan Narayanan:
Refresh Enabled Video Analytics (REVA): Implications on power and performance of DRAM supported embedded visual systems. ICCD 2014: 501-504 - [c19]Chris S. Lee, Kevin M. Irick, Jack Sampson, Chuanjun Zhang, Vijaykrishnan Narayanan:
Exploiting natural redundancy in visual information. ICCD 2014: 505-508 - [c18]Karthik Swaminathan, Huichu Liu, Jack Sampson, Vijaykrishnan Narayanan:
An examination of the architecture and system-level tradeoffs of employing steep slope devices in 3D CMPs. ISCA 2014: 241-252 - [c17]Hsiang-Yun Cheng, Matthew Poremba, Narges Shahidi, Ivan Stalev, Mary Jane Irwin, Mahmut T. Kandemir, Jack Sampson, Yuan Xie:
EECache: exploiting design choices in energy-efficient last-level caches for chip multiprocessors. ISLPED 2014: 303-306 - [c16]Anshuman Gupta, Jack Sampson, Michael Bedford Taylor:
Quality Time: A simple online technique for quantifying multicore execution efficiency. ISPASS 2014: 169-179 - 2013
- [c15]Anshuman Gupta, Jack Sampson, Michael Bedford Taylor:
DR-SNUCA: An energy-scalable dynamically partitioned cache. ICCD 2013: 515-518 - [c14]Anshuman Gupta, Jack Sampson, Michael Bedford Taylor:
TimeCube: A manycore embedded processor with interference-agnostic progress tracking. ICSAMOS 2013: 227-236 - 2012
- [c13]Nathan Goulding-Hotta, Jack Sampson, Qiaoshi Zheng, Vikram Bhatt, Joe Auricchio, Steven Swanson, Michael Bedford Taylor:
GreenDroid: An architecture for the Dark Silicon Age. ASP-DAC 2012: 100-105 - [c12]Vasileios Kontorinis, Liuyi Eric Zhang, Baris Aksanli, Jack Sampson, Houman Homayoun, Eddie Pettis, Dean M. Tullsen, Tajana Simunic Rosing:
Managing distributed UPS energy for effective power capping in data centers. ISCA 2012: 488-499 - 2011
- [j2]Nathan Goulding-Hotta, Jack Sampson, Ganesh Venkatesh, Saturnino Garcia, Joe Auricchio, Po-Chao Huang, Manish Arora, Siddhartha Nath, Vikram Bhatt, Jonathan Babb, Steven Swanson, Michael B. Taylor:
The GreenDroid Mobile Application Processor: An Architecture for Silicon's Dark Future. IEEE Micro 31(2): 86-95 (2011) - [c11]Manish Arora, Jack Sampson, Nathan Goulding-Hotta, Jonathan Babb, Ganesh Venkatesh, Michael Bedford Taylor, Steven Swanson:
Reducing the Energy Cost of Irregular Code Bases in Soft Processor Systems. FCCM 2011: 210-213 - [c10]Jack Sampson, Manish Arora, Nathan Goulding-Hotta, Ganesh Venkatesh, Jonathan Babb, Vikram Bhatt, Steven Swanson, Michael Bedford Taylor:
An Evaluation of Selective Depipelining for FPGA-Based Energy-Reducing Irregular Code Coprocessors. FPL 2011: 24-29 - [c9]Jack Sampson, Ganesh Venkatesh, Nathan Goulding-Hotta, Saturnino Garcia, Steven Swanson, Michael Bedford Taylor:
Efficient complex operators for irregular codes. HPCA 2011: 491-502 - [c8]Ganesh Venkatesh, Jack Sampson, Nathan Goulding-Hotta, Sravanthi Kota Venkata, Michael Bedford Taylor, Steven Swanson:
QsCores: trading dark silicon for scalable energy efficiency with quasi-specific cores. MICRO 2011: 163-174 - 2010
- [b1]John Sampson:
Design and architecture of automatically-generated energy- reducing coprocessors. University of California, San Diego, USA, 2010 - [c7]Ganesh Venkatesh, Jack Sampson, Nathan Goulding, Saturnino Garcia, Vladyslav Bryksin, Jose Lugo-Martinez, Steven Swanson, Michael Bedford Taylor:
Conservation cores: reducing the energy of mature computations. ASPLOS 2010: 205-218 - [c6]Nathan Goulding, Jack Sampson, Ganesh Venkatesh, Saturnino Garcia, Joe Auricchio, Jonathan Babb, Michael B. Taylor, Steven Swanson:
GreenDroid: A mobile application processor for a future of dark silicon. Hot Chips Symposium 2010: 1-39
2000 – 2009
- 2006
- [c5]Weihaw Chuang, Satish Narayanasamy, Ganesh Venkatesh, Jack Sampson, Michael Van Biesbrouck, Gilles Pokam, Brad Calder, Osvaldo Colavin:
Unbounded page-based transactional memory. ASPLOS 2006: 347-358 - [c4]Erez Perelman, Marzia Polito, Jean-Yves Bouguet, Jack Sampson, Brad Calder, Carole Dulong:
Detecting phases in parallel applications on shared memory architectures. IPDPS 2006 - [c3]Jack Sampson, Rubén González, Jean-Francois Collard, Norman P. Jouppi, Michael S. Schlansker, Brad Calder:
Exploiting Fine-Grained Data Parallelism with Chip Multiprocessors and Fast Barriers. MICRO 2006: 235-246 - [c2]Christophe Lemuet, Jack Sampson, Jean-Francois Collard, Norman P. Jouppi:
Architecture - The potential energy efficiency of vector acceleration. SC 2006: 77 - 2005
- [j1]Jack Sampson, Rubén González, Jean-Francois Collard, Norman P. Jouppi, Michael S. Schlansker:
Fast synchronization for chip multiprocessors. SIGARCH Comput. Archit. News 33(4): 64-69 (2005) - [c1]Jeremy Lau, Jack Sampson, Erez Perelman, Greg Hamerly, Brad Calder:
The Strong correlation Between Code Signatures and Performance. ISPASS 2005: 236-247
Coauthor Index
Mahmut T. Kandemir
aka: Mahmut Taylan Kandemir
aka: Mahmut Taylan Kandemir
Michael B. Taylor
aka: Michael Bedford Taylor
aka: Michael Bedford Taylor
Narayanan Vijaykrishnan
aka: Vijaykrishnan Narayanan
aka: Vijaykrishnan Narayanan
[j28] [c82] [c81] [i8] [i4] [c77] [i2] [j26] [j24] [c74] [c73] [j23] [j22] [j21] [c70] [c69] [c68] [c67] [c66] [j20] [j19] [j18] [c63] [c62] [c61] [c60] [c59] [j17] [j16] [j15] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [j14] [j13] [j12] [j11] [c49] [c48] [c45] [c44] [j10] [j9] [j8] [j7] [j6] [c43] [c42] [c39] [c38] [c37] [j5] [c36] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18]
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