A Generic Performance Metric for Scientific Data Compression

The performance outcomes of scientific data compression are complex in nature, often with one performance metric being more prioritized/optimized over others in the algorithm. To balance between different performance metrics, this paper formulates a new generic metric and uses it for searching an op...

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Bibliographic Details
Main Authors: Qin, Zhenlu, Gu, Jessie, Liu, Maggie, Wang, Jinzhen, Zhu, Hongjian
Format: Conference Proceeding
Language:English
Subjects:
Data compression
high-performance computing
Measurement
Online Access:Request full text
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Summary:The performance outcomes of scientific data compression are complex in nature, often with one performance metric being more prioritized/optimized over others in the algorithm. To balance between different performance metrics, this paper formulates a new generic metric and uses it for searching an optimal configuration that leads to a balanced compression performance.
ISSN:2325-3703
DOI:10.1109/e-Science62913.2024.10678705