Towards Efficient SpMV on Sunway Manycore Architectures-Reference-Cited by-同舟云学术

Towards Efficient SpMV on Sunway Manycore Architectures

Published:2018-06-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 International Conference on Supercomputing
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Author:

Liu Changxi¹,Xie Biwei²,Liu Xin³,Xue Wei⁴,Yang Hailong¹,Liu Xu⁵

Affiliation:

1. School of Computer Science and Engineering, Beihang University, China

2. State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, University of Chinese, Academy of Sciences, China

3. National Research Centre of Parallel Computer Engineering and Technology, China

4. Department of Computer Science and Technology, Tsinghua University, China

5. Department of Computer Science, College of William and Mary, USA

Funder

National Natural Science Foundation of China

National Key R&D Program of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3205289.3205313

Reference32 articles.

1. An efficient two-dimensional blocking strategy for sparse matrix-vector multiplication on GPUs

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

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

4. Concurrent number cruncher: a GPU implementation of a general sparse linear solver

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