296 citations · 598 across the 60 of their papers we have counts for
6 papers · 1 filter
Rate-Distortion Bounds for Heterogeneous Random Fields on Finite Lattices
Sujata Sinha, Vishwas Rao, Robert Underwood +4
Since Shannon's foundational work, rate-distortion theory has defined the fundamental limits of lossy compression. Classical results, derived for memoryless and stationary ergodic…
An Error-Bounded Lossy Compression Method with Bit-Adaptive Quantization for Particle Data
Congrong Ren, Sheng Di, Longtao Zhang +2
This paper presents error-bounded lossy compression tailored for particle datasets from diverse scientific applications in cosmology, fluid dynamics, and fusion energy sciences. As…
FastqZip: An Improved Reference-Based Genome Sequence Lossy Compression Framework
Yuanjian Liu, Huihao Luo, Zhijun Han +6
Storing and archiving data produced by next-generation sequencing (NGS) is a huge burden for research institutions. Reference-based compression algorithms are effective in dealing…
Fixed-PSNR Lossy Compression for Scientific Data
Dingwen Tao, Sheng Di, Xin Liang +2
Error-controlled lossy compression has been studied for years because of extremely large volumes of data being produced by today's scientific simulations. None of existing lossy co…
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…
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…