Characterization of Transform-Based Lossy Compression for HPC Datasets
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We characterize three transformation-based lossy compression mechanisms with different information com-paction methods using the statistical features that ...
Transform-based lossy compressors for HPC datasets can also help reduce the size significantly. However, errors are hard to bound as they discard or ...
We characterize three transformation-based lossy compression mechanisms with different information com-paction methods using the statistical features that ...
In transform-based lossy compressors, quantifying dominant coefficients at the block level reveals the right balance, potentially impacting overall ...
Nov 1, 2022 · Lossy compression techniques, which have been widely used in image and video compression, hold promise to fulfill such data reduction need.
The insight of this paper is that, in transform-based lossy compressors, quantifying dominant coefficients at the block level reveals the right balance, ...
We analyze the characteristics of data compressed and present relationships between compression ratio and data characteristics to use an effective lossy ...
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We predict the compression ratio of transformation-based lossy compressors, DCT-K, using characterization data to predict as statistically and use Machine ...
This dissertation focuses on developing an efficient and effective lossy data reduction technique for scientific simulation framework.
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We develop a parallel computing framework, called ParaSZ, that efficiently exploits parallelism of SZ compression in logarithmic transformation stage as well as ...
Missing: Characterization | Show results with:Characterization