Feature-based SpMV Performance Analysis on Contemporary Devices
Author:
Affiliation:
1. National Technical University of Athens,Computing Systems Laboratory,Greece
2. Chalmers University of Technology,Göteborg,Sweden
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10177277/10177383/10177423.pdf?arnumber=10177423
Reference54 articles.
1. Design and Implementation of Adaptive SpMV Library for Multicore and Many-Core Architecture
2. ahSpMV: An Autotuning Hybrid Computing Scheme for SpMV on the Sunway Architecture
3. Auto-Tuning Strategies for Parallelizing Sparse Matrix-Vector (SpMV) Multiplication on Multi- and Many-Core Processors
4. BestSF
5. A Fully Structure-Driven Performance Analysis of Sparse Matrix-Vector Multiplication
Cited by 1 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. Invited paper: An Artificial Matrix Generator for Multi-platform SpMV Performance Analysis;2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW);2023-05
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