Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations-Reference-Cited by-同舟云学术

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Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations

Published:2020-05 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
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Author:

Jin Sian,Grosset Pascal,Biwer Christopher M.,Pulido Jesus,Tian Jiannan,Tao Dingwen,Ahrens James

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9136850/9139768/09139874.pdf?arnumber=9139874

Cited by 33 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. Accelerating memory and I/O intensive HPC applications using hardware compression;Journal of Parallel and Distributed Computing;2024-11

2. guppy i: a code for reducing the storage requirements of cosmological simulations;Monthly Notices of the Royal Astronomical Society;2024-05-13

3. Accelerating MPI AllReduce Communication with Efficient GPU-Based Compression Schemes on Modern GPU Clusters;ISC High Performance 2024 Research Paper Proceedings (39th International Conference);2024-05

4. Concealing Compression-accelerated I/O for HPC Applications through In Situ Task Scheduling;Proceedings of the Nineteenth European Conference on Computer Systems;2024-04-22

5. TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations;IEEE Transactions on Parallel and Distributed Systems;2024-03

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