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J. Tian edited this page Oct 17, 2022 · 2 revisions

cuSZ is a CUDA implementation of the widely used SZ lossy compressor for scientific data. It is the first error-bounded lossy compressor (circa 2020) on GPU for scientific data, aming to massively improve SZ's throughput on heterogeneous HPC systems.

build    |    command-line use    |    API

Kindly note: If you mention cuSZ in your paper, please cite using these BibTeX entries.

(C) 2022 by Indiana University and Argonne National Laboratory. See COPYRIGHT.

  • developers: Jiannan Tian, Cody Rivera, Wenyu Gai, Dingwen Tao, Sheng Di, Franck Cappello
  • contributors (alphabetic): Jon Calhoun, Megan Hickman Fulp, Xin Liang, Robert Underwood, Kai Zhao
  • Special thanks to Dominique LaSalle (NVIDIA) for serving as Mentor in Argonne GPU Hackaton 2021!

Introduction

Build and Install

Use

API Reference

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