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20172026
most citedSignificantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled Quantization

296 citations · 1k across the 84 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.DC2022

Accelerating Parallel Write via Deeply Integrating Predictive Lossy Compression with HDF5

Sian Jin, Dingwen Tao, Houjun Tang +4

Lossy compression is one of the most efficient solutions to reduce storage overhead and improve I/O performance for HPC applications. However, existing parallel I/O libraries canno…

cs.DC2022★ 1 cited

ROIBIN-SZ: Fast and Science-Preserving Compression for Serial Crystallography

Robert Underwood, Chun Yoon, Ali Gok +2

Crystallography is the leading technique to study atomic structures of proteins and produces enormous volumes of information that can place strains on the storage and data transfer…

cs.DC2022★ 6 cited

SZx: an Ultra-fast Error-bounded Lossy Compressor for Scientific Datasets

Xiaodong Yu, Sheng Di, Kai Zhao +4

Today's scientific high performance computing (HPC) applications or advanced instruments are producing vast volumes of data across a wide range of domains, which introduces a serio…

cs.DC2022

SIMD Lossy Compression for Scientific Data

Griffin Dube, Jiannan Tian, Sheng Di +3

Modern HPC applications produce increasingly large amounts of data, which limits the performance of current extreme-scale systems. Data reduction techniques, such as lossy compress…

cs.DC2022★ 2 cited

Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs

Cody Rivera, Sheng Di, Jiannan Tian +3

More and more HPC applications require fast and effective compression techniques to handle large volumes of data in storage and transmission. Not only do these applications need to…