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An Efficient and Accurate Compression Ratio Estimation Model for SZx
Arham Khan
, Sheng Di
, Kai Zhao
, Jinyang Liu
, Kyle Chard
, Ian Fosterv
,
Franck Cappello
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Keyphrases
Estimation Model
100%
Compression Ratio
100%
Ratio Estimation
100%
Lossy Compression
40%
Estimation Error
40%
Error Bound
20%
Estimation Framework
20%
Crash
20%
Compressed Data
20%
HPC Applications
20%
Storage Space
20%
Scientific Dataset
20%
Data Sampling
20%
Estimation Cost
20%
Surrogate-based
20%
Data Fidelity
20%
Lightweight Compression
20%
Computer Science
Compression Ratio
100%
Lossy Compression
40%
Estimation Error
40%
Use Case
20%
Sampling Data
20%
Compressed Data
20%
Cost Estimation
20%
Allocate Memory
20%
Engineering
Compression Ratio
100%
Lossy Compression
40%
Estimation Error
40%
Error Bound
20%
Compressed Data
20%
Cost Estimation
20%