Performance optimization of Sparse Matrix-Vector Multiplication for multi-component PDE-based applications using GPUs

Author:

Abdelfattah Ahmad1,Ltaief Hatem2,Keyes David2,Dongarra Jack134

Affiliation:

1. Innovative Computing Laboratory; University of Tennessee; Knoxville USA

2. Extreme Computing Research Center; King Abdullah University of Science and Technology; Kingdom of Saudia Arabia

3. Oak Ridge National Laboratory; USA

4. University of Manchester; UK

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference25 articles.

1. Kblas: An optimized library for dense matrix-vector multiplication on gpu accelerators;Abdelfattah;ACM Transactions on Mathematical Software,2015

2. Lecture Notes in Computer Science;Abdelfattah,2015

3. The university of florida sparse matrix collection;Davis;ACM Transactions on Mathematical Software,2011

4. Bell N Garland M Implementing sparse matrix-vector multiplication on throughput-oriented processors Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis (SC) Portland, Oregon 2009 18:1 18:11

5. Kincaid D Oppe T Young D Itpackv 2d user's guide 1989 http://www.ma.utexas.edu/ CNA/ITPACK/manuals/userv2d/

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