Exploiting Maximal Overlap for Non-Contiguous Data Movement Processing on Modern GPU-Enabled Systems-Reference-Cited by-同舟云学术

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Exploiting Maximal Overlap for Non-Contiguous Data Movement Processing on Modern GPU-Enabled Systems

Published:2016-05 Issue: Volume: Page:
ISSN:
Container-title:2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
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Author:

Chu C-H.,Hamidouche K.,Venkatesh A.,Banerjee D. S.,Subramoni H.,Panda Dhabaleswar K.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7510487/7515982/07516095.pdf?arnumber=7516095

Cited by 7 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. Network-Assisted Noncontiguous Transfers for GPU-Aware MPI Libraries;IEEE Micro;2023-03-01

2. Network Assisted Non-Contiguous Transfers for GPU-Aware MPI Libraries;2022 IEEE Symposium on High-Performance Interconnects (HOTI);2022-08

3. The MVAPICH project: Transforming research into high-performance MPI library for HPC community;Journal of Computational Science;2021-05

4. FALCON-X: Zero-copy MPI derived datatype processing on modern CPU and GPU architectures;Journal of Parallel and Distributed Computing;2020-10

5. Dynamic Kernel Fusion for Bulk Non-contiguous Data Transfer on GPU Clusters;2020 IEEE International Conference on Cluster Computing (CLUSTER);2020-09

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