A dynamic parameter tuning method for SpMM parallel execution-Reference-Cited by-同舟云学术

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A dynamic parameter tuning method for SpMM parallel execution

Published:2021-12-09 Issue: Volume: Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Qi Bin¹^ORCID,Komatsu Kazuhiko²^ORCID,Sato Masayuki¹^ORCID,Kobayashi Hiroaki¹^ORCID

Affiliation:

1. Graduate School of Information Sciences Tohoku University Sendai Japan

2. Cyberscience Center Tohoku University Sendai Japan

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6755

Reference44 articles.

1. GrafD LabibK UznaskiP. Hamming distance completeness and sparse matrix multiplication; 2018.

2. WangS LiuJ ShroffN. Coded sparse matrix multiplication; 2018.

3. The Gamma Matrix to Summarize Dense and Sparse Data Sets for Big Data Analytics

4. Sparse Matrix Factorizations for Fast Linear Solvers with Application to Laplacian Systems

5. A Hybrid Parallel Solving Algorithm on GPU for Quasi-Tridiagonal System of Linear Equations

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