High Performance Computing for Computational Science – VECPAR 2016 - Lecture Notes in Computer Science
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Published By Springer International Publishing

9783319619811, 9783319619828

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SIMD Parallel Sparse Matrix-Vector and Transposed-Matrix-Vector Multiplication in DD Precision

High Performance Computing for Computational Science – VECPAR 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-61982-8_4 ◽

2017 ◽

pp. 21-34 ◽

Cited By ~ 1

Author(s):

Toshiaki Hishinuma ◽

Hidehiko Hasegawa ◽

Teruo Tanaka

Keyword(s):

Sparse Matrix ◽

Matrix Vector Multiplication ◽

Matrix Vector

Hard Faults and Soft-Errors: Possible Numerical Remedies in Linear Algebra Solvers

High Performance Computing for Computational Science – VECPAR 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-61982-8_3 ◽

2017 ◽

pp. 11-18

Author(s):

E. Agullo ◽

S. Cools ◽

L. Giraud ◽

A. Moreau ◽

P. Salas ◽

...

Keyword(s):

Linear Algebra ◽

Soft Errors

Analysis of High Performance Applications Using Workload Requirements

High Performance Computing for Computational Science – VECPAR 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-61982-8_2 ◽

2017 ◽

pp. 7-10

Author(s):

Mariza Ferro ◽

Giacomo Mc Evoy ◽

Bruno Schulze

Keyword(s):

High Performance

Versat, a Minimal Coarse-Grain Reconfigurable Array

High Performance Computing for Computational Science – VECPAR 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-61982-8_17 ◽

2017 ◽

pp. 174-187 ◽

Cited By ~ 1

Author(s):

João D. Lopes ◽

José T. de Sousa

Keyword(s):

Coarse Grain ◽

Reconfigurable Array

A Cross-Core Performance Model for Heterogeneous Many-Core Architectures

High Performance Computing for Computational Science – VECPAR 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-61982-8_11 ◽

2017 ◽

pp. 101-111

Author(s):

Rui Pinheiro ◽

Nuno Roma ◽

Pedro Tomás

Keyword(s):

Performance Model ◽

Many Core

Aspect Oriented Parallel Framework for Java

High Performance Computing for Computational Science – VECPAR 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-61982-8_20 ◽

2017 ◽

pp. 220-233

Author(s):

Bruno Medeiros ◽

João L. Sobral

Keyword(s):

Oriented Parallel

Accelerating the Conjugate Gradient Algorithm with GPUs in CFD Simulations

High Performance Computing for Computational Science – VECPAR 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-61982-8_5 ◽

2017 ◽

pp. 35-43

Author(s):

Hartwig Anzt ◽

Marc Baboulin ◽

Jack Dongarra ◽

Yvan Fournier ◽

Frank Hulsemann ◽

...

Keyword(s):

Conjugate Gradient ◽

Conjugate Gradient Algorithm ◽

Gradient Algorithm ◽

Cfd Simulations

On the Acceleration of Graph500: Characterizing PCIe Overheads with Multi-GPUs

High Performance Computing for Computational Science – VECPAR 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-61982-8_12 ◽

2017 ◽

pp. 112-120

Author(s):

Mayank Daga

Computing the Bidiagonal SVD Through an Associated Tridiagonal Eigenproblem

High Performance Computing for Computational Science – VECPAR 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-61982-8_8 ◽

2017 ◽

pp. 64-74

Author(s):

Osni Marques ◽

Paulo B. Vasconcelos

HPC on the Intel Xeon Phi: Homomorphic Word Searching

High Performance Computing for Computational Science – VECPAR 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-61982-8_9 ◽

2017 ◽

pp. 75-88 ◽

Cited By ~ 1

Author(s):

Paulo Martins ◽

Leonel Sousa

Keyword(s):

Xeon Phi ◽

Intel Xeon Phi ◽

Intel Xeon

High Performance Computing for Computational Science – VECPAR 2016 - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

SIMD Parallel Sparse Matrix-Vector and Transposed-Matrix-Vector Multiplication in DD Precision

Hard Faults and Soft-Errors: Possible Numerical Remedies in Linear Algebra Solvers

Analysis of High Performance Applications Using Workload Requirements

Versat, a Minimal Coarse-Grain Reconfigurable Array

A Cross-Core Performance Model for Heterogeneous Many-Core Architectures

Aspect Oriented Parallel Framework for Java

Accelerating the Conjugate Gradient Algorithm with GPUs in CFD Simulations

On the Acceleration of Graph500: Characterizing PCIe Overheads with Multi-GPUs

Computing the Bidiagonal SVD Through an Associated Tridiagonal Eigenproblem

HPC on the Intel Xeon Phi: Homomorphic Word Searching

High Performance Computing for Computational Science – VECPAR 2016 - Lecture Notes in Computer Science
Latest Publications