High-Performance Computing

Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs
More and more HPC applications require fast and effective compression techniques to handle large volumes of data in storage and …
Cody Rivera, Sheng Di, Jiannan Tian, Xiaodong Yu, Dingwen Tao, Franck Cappello
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Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs
Error-bounded lossy compression is a critical technique for significantly reducing scientific data volumes. With ever-emerging …
Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera, Kai Zhao, Sian Jin, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello
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Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures
Today’s high-performance computing (HPC) applications are producing vast volumes of data, which are challenging to store and …
Jiannan Tian, Cody Rivera, Sheng Di, Jieyang Chen, Xin Liang, Dingwen Tao, Franck Cappello
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TSM2X: High-performance tall-and-skinny matrix–matrix multiplication on GPUs
Linear algebra operations have been widely used in big data analytics and scientific computations. Many works have been done on …
Cody Rivera, Jieyang Chen, Nan Xiong, Jing Zhang, Shuaiwen Leon Song, Dingwen Tao
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cuSZ
An error-bounded lossy compressor for scientific datasets on GPUs.
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cuSZ
cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data
Error-bounded lossy compression is a state-of-the-art data reduction technique for HPC applications because it not only significantly …
Jiannan Tian, Sheng Di, Kai Zhao, Cody Rivera, Megan Hickman Fulp, Robert Underwood, Sian Jin, Xin Liang, Jon Calhoun, Dingwen Tao, Franck Cappello
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TSM2X
A set of algorithms for multiplying irregularly-shaped matrices fast on GPUs.
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TSM2X