Efficient sparse-matrix multi-vector product on GPUs

Author:

Hong Changwan1,Sukumaran-Rajam Aravind1,Bandyopadhyay Bortik1,Kim Jinsung1,Kurt Süreyya Emre1,Nisa Israt1,Sabhlok Shivani1,Çatalyürek Ümit V.2,Parthasarathy Srinivasan1,Sadayappan P.1

Affiliation:

1. The Ohio State University

2. Georgia Institute of Technology

Funder

Defense Sciences Office, DARPA

National Science Foundation

Publisher

ACM

Reference39 articles.

1. The API reference guide for cuSPARSE the CUDA sparse matrixlibrary.(v8.0 ed.). http://docs.nvidia.com/cuda/cusparse/index.html. (2018). The API reference guide for cuSPARSE the CUDA sparse matrixlibrary.(v8.0 ed.). http://docs.nvidia.com/cuda/cusparse/index.html. (2018).

2. Optimizing Sparse Matrix-Multiple Vectors Multiplication for Nuclear Configuration Interaction Calculations

3. Fast Sparse Matrix-Vector Multiplication on GPUs for Graph Applications

4. Zhaojun Bai James Demmel Jack Dongarra Axel Ruhe and Henk van der Vorst. 2000. Templates for the solution of algebraic eigenvalue problems: a practical guide. SIAM. Zhaojun Bai James Demmel Jack Dongarra Axel Ruhe and Henk van der Vorst. 2000. Templates for the solution of algebraic eigenvalue problems: a practical guide. SIAM.

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