登录 注册 会员服务 联系我们

Accelerating sparse matrix–matrix multiplication with GPU Tensor Cores

  • Published:2020-12 Issue: Volume:88 Page:106848
  • ISSN:0045-7906
  • Container-title:Computers & Electrical Engineering
  • language:en
  • Short-container-title:Computers & Electrical Engineering

Author:

Zachariadis Orestis,Satpute NitinORCID,Gómez-Luna JuanORCID,Olivares Joaquín

Funder

European Union’s Horizon 2020 research and innovation programme

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering

Reference30 articles.

1. Algorithm 9xx: SuiteSparse: Graphblas: graph algorithms in the language of sparse linear algebra;Davis,2018

2. High-performance graph algorithms from parallel sparse matrices;Gilbert,2006

3. Exposing fine-grained parallelism in algebraic multigrid methods;Bell;SIAM J Sci Comput,2012

4. On techniques to improve robustness and scalability of a parallel hybrid linear solver;Yamazaki,2010

5. Optimizing sparse matrix—Matrix multiplication for the GPU;Dalton;ACM Trans Math Software,2015

Cited by 32 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. Dedicated Hardware Accelerators for Processing of Sparse Matrices and Vectors: A Survey;ACM Transactions on Architecture and Code Optimization;2024-01-17

2. Sparse Stream Semantic Registers: A Lightweight ISA Extension Accelerating General Sparse Linear Algebra;IEEE Transactions on Parallel and Distributed Systems;2023-12

3. Mixed-precision block incomplete sparse approximate preconditioner on Tensor core;CCF Transactions on High Performance Computing;2023-09-13

4. A Multi-GPU Aggregation-Based AMG Preconditioner for Iterative Linear Solvers;IEEE Transactions on Parallel and Distributed Systems;2023-08

5. Accelerating matrix-centric graph processing on GPUs through bit-level optimizations;Journal of Parallel and Distributed Computing;2023-07
同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3