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ORCID12th VECPAR 2016: Porto, Portugal
- Inês Dutra, Rui Camacho, Jorge G. Barbosa, Osni Marques:
High Performance Computing for Computational Science - VECPAR 2016 - 12th International Conference, Porto, Portugal, June 28-30, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10150, Springer 2017, ISBN 978-3-319-61981-1
Invited Talks
- Omar Ghattas, Tobin Isaac, Noémi Petra, Georg Stadler:
Scalable Algorithms for Bayesian Inference of Large-Scale Models from Large-Scale Data. 3-6 - Mariza Ferro
, Giacomo V. McEvoy, Bruno Schulze:
Analysis of High Performance Applications Using Workload Requirements. 7-10 - Emmanuel Agullo, Siegfried Cools, Luc Giraud, A. Moreau, Pablo Salas, Wim Vanroose, Emrullah Fatih Yetkin, Mawussi Zounon:
Hard Faults and Soft-Errors: Possible Numerical Remedies in Linear Algebra Solvers. 11-18
Applications
- Toshiaki Hishinuma, Hidehiko Hasegawa, Teruo Tanaka:
SIMD Parallel Sparse Matrix-Vector and Transposed-Matrix-Vector Multiplication in DD Precision. 21-34 - Hartwig Anzt, Marc Baboulin, Jack J. Dongarra, Yvan Fournier, Frank Hülsemann, Amal Khabou, Yushan Wang:
Accelerating the Conjugate Gradient Algorithm with GPUs in CFD Simulations. 35-43 - Ronan Guivarch, Guillaume Joslin, Ronan Perrussel, Daniel Ruiz, Jean Tshimanga, Thomas Unfer:
Parallelisation of MACOPA, A Multi-physics Asynchronous Solver. 44-51 - Naoya Nomura, Akihiro Fujii, Teruo Tanaka, Kengo Nakajima, Osni Marques:
Performance Analysis of SA-AMG Method by Setting Extracted Near-Kernel Vectors. 52-63 - Osni Marques, Paulo B. Vasconcelos:
Computing the Bidiagonal SVD Through an Associated Tridiagonal Eigenproblem. 64-74 - Paulo Martins, Leonel Sousa:
HPC on the Intel Xeon Phi: Homomorphic Word Searching. 75-88 - Allen D. Malony, Stephanie McCumsey, Joseph Byrnes, Craig Rasmusen, Soren Rasmusen, Erik Keever, Douglas Toomey:
A Data Parallel Algorithm for Seismic Raytracing. 89-98
Performance Modeling and Analysis
- Rui Pinheiro, Nuno Roma, Pedro Tomás:
A Cross-Core Performance Model for Heterogeneous Many-Core Architectures. 101-111 - Mayank Daga:
On the Acceleration of Graph500: Characterizing PCIe Overheads with Multi-GPUs. 112-120 - Alcides Fonseca, Bruno Cabral:
Evaluation of Runtime Cut-off Approaches for Parallel Programs. 121-134 - Kazuya Matsumoto, Norihisa Fujita, Toshihiro Hanawa, Taisuke Boku:
Implementation and Evaluation of NAS Parallel CG Benchmark on GPU Cluster with Proprietary Interconnect TCA. 135-145
Low Level Support
- Shinji Sumimoto, Yuichiro Ajima, Kazushige Saga, Takafumi Nose, Naoyuki Shida, Takeshi Nanri:
The Design of Advanced Communication to Reduce Memory Usage for Exa-scale Systems. 149-161 - Artur Mariano, Fábio Correia, Christian H. Bischof:
A Vectorized, Cache Efficient LLL Implementation. 162-173 - João D. Lopes, José T. de Sousa:
Versat, a Minimal Coarse-Grain Reconfigurable Array. 174-187
Environments/Libraries to Support Parallelization
- Iván Cores, Patricia González, Emmanuel Jeannot, María J. Martín, Gabriel Rodríguez:
An Application-Level Solution for the Dynamic Reconfiguration of MPI Applications. 191-205 - Ji Liu, Esther Pacitti, Patrick Valduriez, Marta Mattoso:
Scientific Workflow Scheduling with Provenance Support in Multisite Cloud. 206-219 - Bruno Medeiros, João L. Sobral:
Aspect Oriented Parallel Framework for Java. 220-233 - Rui António Sabino Castiço da Silva, João L. Sobral:
Gaspar Data-Centric Framework. 234-247 - Julien Adam, Marc Pérache:
A Parallel and Resilient Frontend for High Performance Validation Suites. 248-255 - Nuno Oliveira, Pedro D. Medeiros:
A Heterogeneous Runtime Environment for Scientific Desktop Computing. 256-269
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