"Improving Error-Bounded Compression for Cosmological Simulation" by Sihuan Li, Sheng Di et al.
 

Abstract

Cosmological simulations may produce extremely large amount of data, such that its successful run depends on large storage capacity and huge I/O bandwidth, especially in the exascale computing scale. Effective error-bounded lossy compressors with both high compression ratios and low data distortion can significantly reduce the total data size while guaranteeing the data valid for post-analysis. In this poster, we propose a novel, efficient compression model for cosmological N-body simulation framework, by combining the advantages of both space-based compression and time-based compression. The evaluation with a well-known cosmological simulation code shows that our proposed solution can get much higher compression quality than other existing state-of-the-art compressors, with comparable compression/decompression rates.

Meeting Name

30th ACM/IEEE International Conference for High Performance Computing, Networking, Storage, and Analysis, SC '18 (2018: Nov. 11-16, Dallas, TX)

Department(s)

Computer Science

Document Type

Poster

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 2018 The Authors, All rights reserved.

Publication Date

16 Nov 2018

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