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@szcompressor

SZ Lossy Compressor Framework

SZ is a modular parametrizable lossy compressor framework for scientific data (floating point and integers).

Pinned

  1. SZ Public

    Error-bounded Lossy Data Compressor (for floating-point/integer datasets)

    C 123 52

  2. cuSZ Public

    A GPU accelerated error-bounded lossy compression for scientific data.

    C++ 45 19

  3. DeepSZ Public

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

    Python 11 2

  4. kokkosSZ Public

    Portable Accelerator Implementation of SZ Lossy Compressor for Scientific Data Using Kokkos

    C++ 2

  5. CEAZ Public

    An implementation of SZ lossy compression in Vivado HLS for Xilinx FPGAs.

    C 6 2

  6. qcat Public

    Quick Compression Analysis Toolkit (QCAT)

    C 9 5

Repositories

  • cuSZ Public

    A GPU accelerated error-bounded lossy compression for scientific data.

    C++ 45 19 6 0 Updated Aug 10, 2023
  • FZ-GPU Public

    FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Data on GPUs

    Cuda 5 1 0 0 Updated Aug 8, 2023
  • next.szcompressor.github.io Public

    The non-public version of the SZ Website

    HTML 0 Apache-2.0 0 9 1 Updated Aug 7, 2023
  • SZ Public

    Error-bounded Lossy Data Compressor (for floating-point/integer datasets)

    C 123 52 10 2 Updated Jul 27, 2023
  • qcat Public

    Quick Compression Analysis Toolkit (QCAT)

    C 9 BSD-2-Clause 5 0 0 Updated Jul 21, 2023
  • QoZ Public
    C++ 1 2 0 0 Updated Jul 16, 2023
  • cpSZ Public

    critical point preserving for vector field

    C++ 4 1 0 0 Updated Jul 1, 2023
  • cuSZp Public
    Cuda 1 0 0 0 Updated Jun 21, 2023
  • SZ3 Public
    C++ 37 17 4 0 Updated May 30, 2023
  • szcompressor.github.io Public

    SZ is a modular parametrizable lossy compressor framework for scientific data (floating point and integers). It has applications in simulations, AI and instruments. It is a production quality software and a research platform for lossy compression.

    HTML 1 MIT 0 0 0 Updated May 19, 2023

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