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20082023
most citedSignificantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled Quantization

296 citations · 660 across the 30 of their papers we have counts for

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Showing 2017Show all

5 papers · 1 filter

cs.DC2017

Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere

Jieyang Chen, Qiang Guan, Xin Liang +5

Variations in High Performance Computing (HPC) system software configurations mean that applications are typically configured and built for specific HPC environments. Building appl…

cs.DC2017

In-Depth Exploration of Single-Snapshot Lossy Compression Techniques for N-Body Simulations

Dingwen Tao, Sheng Di, Zizhong Chen +1

In situ lossy compression allowing user-controlled data loss can significantly reduce the I/O burden. For large-scale N-body simulations where only one snapshot can be compressed a…

cs.IT2017★ 2 cited

Exploration of Pattern-Matching Techniques for Lossy Compression on Cosmology Simulation Data Sets

Dingewn Tao, Sheng Di, Zizhong Chen +1

Because of the vast volume of data being produced by today's scientific simulations, lossy compression allowing user-controlled information loss can significantly reduce the data s…

cs.OH2017★ 63 cited

Z-checker: A Framework for Assessing Lossy Compression of Scientific Data

Dingwen Tao, Sheng Di, Hanqi Guo +2

Because of vast volume of data being produced by today's scientific simulations and experiments, lossy data compressor allowing user-controlled loss of accuracy during the compress…

cs.IT2017★ 296 cited

Significantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled Quantization

Dingwen Tao, Sheng Di, Zizhong Chen +1

Today's HPC applications are producing extremely large amounts of data, such that data storage and analysis are becoming more challenging for scientific research. In this work, we…