CCF: An efficient SpMV storage format for AVX512 platforms-Reference-Cited by-同舟云学术

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CCF: An efficient SpMV storage format for AVX512 platforms

Published:2020-12 Issue: Volume:100 Page:102710
ISSN:0167-8191
Container-title:Parallel Computing
language:en
Short-container-title:Parallel Computing

Author:

Almasri Mohammad,Abu-Sufah Walid

Funder

National Science Foundation

Intel Corporation

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference39 articles.

1. High-performance graph analytics on manycore processors;Slota,2015

2. Scalable graph exploration on multicore processors;Agarwal,2010

3. Graphmat: High performance graph analytics made productive;Sundaram,2015

4. Graphpad: Optimized graph primitives for parallel and distributed platforms;Anderson,2016

5. A machine learning-based approach for selecting spmv kernels and matrix storage formats;Cui;IEICE Trans. Inf. Syst.,2018

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Survey of Accelerating Parallel Sparse Linear Algebra;ACM Computing Surveys;2023-08-28

2. GTLB:A Load-Balanced SpMV Computation Method on GPU;Proceedings of the 2023 7th International Conference on High Performance Compilation, Computing and Communications;2023-06-17

3. Parallelization Designs of SpMV Using Compressed Storage for Sparse Matrices on GPU;Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery;2023

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