Accelerating sparse matrix-vector multiplication on GPUs using bit-representation-optimized schemes-Reference-Cited by-同舟云学术

Accelerating sparse matrix-vector multiplication on GPUs using bit-representation-optimized schemes

Published:2013-11-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
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Author:

Tang Wai Teng¹,Tan Wen Jun¹,Ray Rajarshi²,Wong Yi Wen²,Chen Weiguang²,Kuo Shyh-hao³,Goh Rick Siow Mong³,Turner Stephen John¹,Wong Weng-Fai²

Affiliation:

1. Nanyang Technological University, Singapore

2. National University of Singapore, Singapore

3. Institute of High Performance Computing, Singapore

Funder

Agency for Science, Technology and Research

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2503210.2503234

Reference27 articles.

1. An Approximate Minimum Degree Ordering Algorithm

2. Pattern-based sparse matrix representation for memory-efficient SMVM kernels

3. Implementing sparse matrix-vector multiplication on throughput-oriented processors

4. N. Bell and M. Garland. Cusp library 2012. http://cusp-library.googlecode.com. N. Bell and M. Garland. Cusp library 2012. http://cusp-library.googlecode.com.

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