NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (12)

cs.IT2017

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

Dingwen Tao, Sheng Di, Zizhong Chen +1

cs.DC2003

Augernome & XtremWeb: Monte Carlos computation on a global computing platform

Oleg Lodygensky, Gilles Fedak, Vincent Neri +2

cs.DC2009

Checkpointing vs. Migration for Post-Petascale Machines

Franck Cappello, Henri Casanova, Yves Robert

cs.DC2019

Optimizing Lossy Compression Rate-Distortion from Automatic Online Selection between SZ and ZFP

Dingwen Tao, Sheng Di, Xin Liang +2

cs.IT2018

Fixed-PSNR Lossy Compression for Scientific Data

Dingwen Tao, Sheng Di, Xin Liang +2

cs.DC2018

Improving Performance of Iterative Methods by Lossy Checkponting

Dingwen Tao, Sheng Di, Xin Liang +2

cs.CV2019

DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression

Sian Jin, Sheng Di, Xin Liang +3

cs.DC2017

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

Dingwen Tao, Sheng Di, Zizhong Chen +1

quant-ph2018

Memory-Efficient Quantum Circuit Simulation by Using Lossy Data Compression

Xin-Chuan Wu, Sheng Di, Franck Cappello +3

cs.IT2017

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

Dingewn Tao, Sheng Di, Zizhong Chen +1

quant-ph2018

Amplitude-Aware Lossy Compression for Quantum Circuit Simulation

Xin-Chuan Wu, Sheng Di, Franck Cappello +3

cs.OH2017

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

Dingwen Tao, Sheng Di, Hanqi Guo +2