CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras CS-2-Reference-Cited by-同舟云学术

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CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras CS-2

Published:2024-06-03 Issue: Volume:71 Page:309-321
ISSN:
Container-title:Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing
language:
Short-container-title:

Author:

Song Shihui¹^ORCID,Huang Yafan¹^ORCID,Jiang Peng¹^ORCID,Yu Xiaodong²^ORCID,Zheng Weijian³^ORCID,Di Sheng⁴^ORCID,Cao Qinglei⁵^ORCID,Feng Yunhe⁶^ORCID,Xie Zhen⁷^ORCID,Cappello Franck⁴^ORCID

Affiliation:

1. University of Iowa, Iowa City, United States of America

2. Stevens Institute of Technology, Hoboken, New Jersey, United States of America

3. Argonne National Laboratory, Lemont, USA

4. Argonne National Laboratory, Lemont, United States of America

5. Saint Louis University, St. Louis,, USA

6. University of North Texas, Dallas, United States of America

7. Binghamton University, New York, United States of America

Funder

NSF (National Science Foundation)

DOE U.S. Department of Energy

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3625549.3658691

Reference55 articles.

1. [n.d.]. Hurricane ISABEL simulation dataset in IEEE Visualization 2004 Test. http://vis.computer.org/vis2004contest/data.html

2. [n.d.]. NYX simulation. https://amrex-astro.github.io/Nyx/

3. Multilevel Techniques for Compression and Reduction of Scientific Data---The Multivariate Case

4. Nyx: A MASSIVELY PARALLEL AMR CODE FOR COMPUTATIONAL COSMOLOGY

5. Reverse time migration

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