Vectorizing SpMV by Exploiting Dynamic Regular Patterns-Reference-Cited by-同舟云学术

Vectorizing SpMV by Exploiting Dynamic Regular Patterns

Published:2022-08-29 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 51st International Conference on Parallel Processing
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Author:

You Xin¹,Liu Changxi²,Yang Hailong¹,Wang Pengbo¹,Luan Zhongzhi¹,Qian Depei¹

Affiliation:

1. Beihang University, China

2. National University of Singapore, Singapore

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3545008.3545042

Reference29 articles.

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

2. Generating piecewise-regular code from irregular structures

3. Satish Balay Shrirang Abhyankar Mark Adams Jed Brown Peter Brune Kris Buschelman Lisandro Dalcin Alp Dener Victor Eijkhout W Gropp 2019. PETSc users manual. Satish Balay Shrirang Abhyankar Mark Adams Jed Brown Peter Brune Kris Buschelman Lisandro Dalcin Alp Dener Victor Eijkhout W Gropp 2019. PETSc users manual.

4. Optimizing irregular shared-memory applications for distributed-memory systems

5. The Combinatorial BLAS: design, implementation, and applications

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1. DASP: Specific Dense Matrix Multiply-Accumulate Units Accelerated General Sparse Matrix-Vector Multiplication;Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis;2023-11-11

2. HASpMV: Heterogeneity-Aware Sparse Matrix-Vector Multiplication on Modern Asymmetric Multicore Processors;2023 IEEE International Conference on Cluster Computing (CLUSTER);2023-10-31