Generic Matrix Multiplication for Multi-GPU Accelerated Distributed-Memory Platforms over PaRSEC-Reference-Cited by-同舟云学术

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Generic Matrix Multiplication for Multi-GPU Accelerated Distributed-Memory Platforms over PaRSEC

Published:2019-11 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE/ACM 10th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems (ScalA)
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Author:

Herault Thomas,Robert Yves,Bosilca George,Dongarra Jack

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8938201/8948503/08948618.pdf?arnumber=8948618

Cited by 16 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. DB-SpGEMM: A Massively Distributed Block-Sparse Matrix-Matrix Multiplication for Linear-Scaling DFT Calculations;Proceedings of the 53rd International Conference on Parallel Processing;2024-08-12

2. Multi-GPU work sharing in a task-based dataflow programming model;Future Generation Computer Systems;2024-07

3. An Illustration of Extending Hedgehog to Multi-Node GPU Architectures Using GEMM;SN Computer Science;2024-06-15

4. Task-based Parallel Programming for Scalable Matrix Product Algorithms;ACM Transactions on Mathematical Software;2023-06-15

5. Taming data locality for task scheduling under memory constraint in runtime systems;Future Generation Computer Systems;2023-06

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