Achieving Computation-Communication Overlap with Overdecomposition on GPU Systems

Author:

Choi Jaemin1,Richards David F.2,Kale Laxmikant V.1

Affiliation:

1. University of Illinois at Urbana-Champaign,Department of Computer Science,Urbana,Illinois

2. Center for Applied Scientific Computing, Lawrence Livermore National Laboratory,Livermore,California

Funder

U.S. Department of Energy (DOE)

Lawrence Livermore National Laboratory

Office of Science

U.S. DOE

Publisher

IEEE

Cited by 20 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. Bridge-NDP: Achieving Efficient Communication-Computation Overlap in Near Data Processing with Bridge Architecture;2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC);2024-01-22

2. Single‐ and multi‐GPU computing on NVIDIA‐ and AMD‐based server platforms for solidification modeling application;Concurrency and Computation: Practice and Experience;2023-12-27

3. SciLance: Mitigate Load Imbalance for Parallel Scientific Applications in Cloud Environments;2023 IEEE International Conference on Cluster Computing (CLUSTER);2023-10-31

4. Accelerating communication for parallel programming models on GPU systems;Parallel Computing;2022-10

5. BiTe-REx;Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval;2022-07-06

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