Title | ||
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Towards Combining Error-bounded Lossy Compression and Cryptography for Scientific Data |
Abstract | ||
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In the scientific domain, extremely large amounts of data are generated by large-scale high performance computing (HPC) simulations. Storing and sending such vast volumes of data poses serious scalability and performance issues, which can be considerably mitigated by data compression techniques which significantly reduced storage size and data movement burdens. Since scientific data are being shar... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/HPEC49654.2021.9622874 | 2021 IEEE High Performance Extreme Computing Conference (HPEC) |
Keywords | DocType | ISSN |
Correlation,Scalability,High performance computing,Conferences,Computational modeling,Data compression,Data models | Conference | 2377-6943 |
ISBN | Citations | PageRank |
978-1-6654-2369-4 | 1 | 0.35 |
References | Authors | |
0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ruiwen Shan | 1 | 1 | 0.35 |
Sheng Di | 2 | 737 | 55.88 |
Jon C. Calhoun | 3 | 3 | 3.41 |
Franck Cappello | 4 | 3775 | 251.47 |