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Port details
sz3 Modular Error-bounded Lossy Compression Framework for Scientific Datasets
3.2.1 sciencenew! on this many watch lists=0 search for ports that depend on this port Find issues related to this port Report an issue related to this port View this port on Repology. pkg-fallout Package not present on quarterly.This port was created during this quarter. It will be in the next quarterly branch but not the current one.
Maintainer: sunpoet@FreeBSD.org search for ports maintained by this maintainer
Port Added: 2025-02-03 15:57:18
Last Update: 2025-02-03 15:50:42
Commit Hash: 9a01009
License: BSD4CLAUSE
WWW:
https://szcompressor.org/
https://github.com/szcompressor/SZ3
Description:
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. SZ is open and transparent. Open because all interested researchers and students can study or contribute to it. Transparent because all performance improvements are detailed in publications. SZ can be used for classic use-cases: visualization, accelerating I/O, reducing memory and storage footprint and more advanced use-cases like compression of DNN models and training sets, acceleration of computation, checkpoint/restart, reducing streaming intensity and running efficiently large problems that cannot fit in memory. Other use-cases will augment this list as users find new opportunities to benefit from lossy compression of scientific data. SZ has implementations on CPU, GPU, and FPGA and is integrated in the main I/O libraries: HFD5, ADIOS, PnetCDF.
HomepageHomepage    cgit ¦ Codeberg ¦ GitHub ¦ GitLab ¦ SVNWeb - no subversion history for this port

Manual pages:
FreshPorts has no man page information for this port.
pkg-plist: as obtained via: make generate-plist
Expand this list (76 items)
Collapse this list.
  1. /usr/local/share/licenses/sz3-3.2.1/catalog.mk
  2. /usr/local/share/licenses/sz3-3.2.1/LICENSE
  3. /usr/local/share/licenses/sz3-3.2.1/BSD4CLAUSE
  4. bin/sz3
  5. bin/sz3_smoke_test
  6. include/SZ3/api/impl/SZAlgoInterp.hpp
  7. include/SZ3/api/impl/SZAlgoLorenzoReg.hpp
  8. include/SZ3/api/impl/SZAlgoNopred.hpp
  9. include/SZ3/api/impl/SZDispatcher.hpp
  10. include/SZ3/api/impl/SZImpl.hpp
  11. include/SZ3/api/impl/SZImplOMP.hpp
  12. include/SZ3/api/sz.hpp
  13. include/SZ3/compressor/Compressor.hpp
  14. include/SZ3/compressor/SZGenericCompressor.hpp
  15. include/SZ3/compressor/SZIterateCompressor.hpp
  16. include/SZ3/compressor/specialized/SZBlockInterpolationCompressor.hpp
  17. include/SZ3/compressor/specialized/SZExaaltCompressor.hpp
  18. include/SZ3/compressor/specialized/SZTruncateCompressor.hpp
  19. include/SZ3/decomposition/Decomposition.hpp
  20. include/SZ3/decomposition/InterpolationDecomposition.hpp
  21. include/SZ3/decomposition/LorenzoRegressionDecomposition.hpp
  22. include/SZ3/decomposition/NoPredictionDecomposition.hpp
  23. include/SZ3/decomposition/TimeSeriesDecomposition.hpp
  24. include/SZ3/def.hpp
  25. include/SZ3/encoder/ArithmeticEncoder.hpp
  26. include/SZ3/encoder/BypassEncoder.hpp
  27. include/SZ3/encoder/Encoder.hpp
  28. include/SZ3/encoder/HuffmanEncoder.hpp
  29. include/SZ3/encoder/RunlengthEncoder.hpp
  30. include/SZ3/lossless/Lossless.hpp
  31. include/SZ3/lossless/Lossless_bypass.hpp
  32. include/SZ3/lossless/Lossless_zstd.hpp
  33. include/SZ3/predictor/ComposedPredictor.hpp
  34. include/SZ3/predictor/LorenzoPredictor.hpp
  35. include/SZ3/predictor/MetaLorenzoPredictor.hpp
  36. include/SZ3/predictor/MetaRegressionPredictor.hpp
  37. include/SZ3/predictor/PolyRegressionCoeffAux.hpp
  38. include/SZ3/predictor/PolyRegressionCoeffAux.m
  39. include/SZ3/predictor/PolyRegressionPredictor.hpp
  40. include/SZ3/predictor/Predictor.hpp
  41. include/SZ3/predictor/RegressionPredictor.hpp
  42. include/SZ3/preprocessor/PreFilter.hpp
  43. include/SZ3/preprocessor/PreProcessor.hpp
  44. include/SZ3/preprocessor/Transpose.hpp
  45. include/SZ3/preprocessor/Wavelet.hpp
  46. include/SZ3/quantizer/LinearQuantizer.hpp
  47. include/SZ3/quantizer/Quantizer.hpp
  48. include/SZ3/utils/ByteUtil.hpp
  49. include/SZ3/utils/Config.hpp
  50. include/SZ3/utils/Extraction.hpp
  51. include/SZ3/utils/FileUtil.hpp
  52. include/SZ3/utils/Interpolators.hpp
  53. include/SZ3/utils/Iterator.hpp
  54. include/SZ3/utils/KmeansUtil.hpp
  55. include/SZ3/utils/MemoryUtil.hpp
  56. include/SZ3/utils/MetaDef.hpp
  57. include/SZ3/utils/QuantOptimizatioin.hpp
  58. include/SZ3/utils/Statistic.hpp
  59. include/SZ3/utils/Timer.hpp
  60. include/SZ3/utils/inih/INIReader.h
  61. include/SZ3/utils/inih/LICENSE.txt
  62. include/SZ3/utils/ska_hash/LICENSE.txt
  63. include/SZ3/utils/ska_hash/bytell_hash_map.hpp
  64. include/SZ3/utils/ska_hash/flat_hash_map.hpp
  65. include/SZ3/utils/ska_hash/unordered_map.hpp
  66. include/SZ3/version.hpp
  67. include/SZ3/version.hpp.in
  68. include/SZ3c/sz3c.h
  69. lib/cmake/SZ3/SZ3Config.cmake
  70. lib/cmake/SZ3/SZ3ConfigVersion.cmake
  71. lib/cmake/SZ3/SZ3Targets.cmake
  72. lib/libSZ3c.so
  73. share/SZ3/testfloat_8_8_128.dat
  74. @owner
  75. @group
  76. @mode
Collapse this list.
Dependency lines:
  • sz3>0:science/sz3
To install the port:
cd /usr/ports/science/sz3/ && make install clean
To add the package, run one of these commands:
  • pkg install science/sz3
  • pkg install sz3
NOTE: If this package has multiple flavors (see below), then use one of them instead of the name specified above.
PKGNAME: sz3
Flavors: there is no flavor information for this port.
distinfo:
TIMESTAMP = 1738088812 SHA256 (szcompressor-SZ3-v3.2.1_GH0.tar.gz) = 24ed1c8159832734a241df66b857eca64d18a2e8e949ef583a2d0bfe01c6b7e1 SIZE (szcompressor-SZ3-v3.2.1_GH0.tar.gz) = 4474033
Packages (timestamps in pop-ups are UTC):
sz3
ABIaarch64amd64armv6armv7i386powerpcpowerpc64powerpc64le
FreeBSD:13:latest3.2.13.2.1-3.2.13.2.1---
FreeBSD:13:quarterly--------
FreeBSD:14:latest3.2.13.2.1--3.2.1---
FreeBSD:14:quarterly--------
FreeBSD:15:latest3.2.13.2.1n/a3.2.1n/a---
Dependencies
NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.
Build dependencies:
  1. cmake : devel/cmake-core
  2. ninja : devel/ninja
  3. pkgconf>=1.3.0_1 : devel/pkgconf
Library dependencies:
  1. libgsl.so : math/gsl
  2. libzstd.so : archivers/zstd
This port is required by:
for Libraries
  1. graphics/py-imagecodecs
Configuration Options:
No options to configure
Options name:
science_sz3
USES:
cmake pkgconfig
FreshPorts was unable to extract/find any pkg message
Master Sites:
Expand this list (1 items)
Collapse this list.
  1. https://codeload.github.com/szcompressor/SZ3/tar.gz/v3.2.1?dummy=/
Collapse this list.

Number of commits found: 1

Commit History - (may be incomplete: for full details, see links to repositories near top of page)
CommitCreditsLog message
3.2.1
03 Feb 2025 15:50:42
commit hash: 9a010091641e98796d3d41e51d88bcbfafbc5ececommit hash: 9a010091641e98796d3d41e51d88bcbfafbc5ececommit hash: 9a010091641e98796d3d41e51d88bcbfafbc5ececommit hash: 9a010091641e98796d3d41e51d88bcbfafbc5ece files touched by this commit		 Po-Chuan Hsieh (sunpoet) search for other commits by this committer 
science/sz3: Add sz3 3.2.1

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. SZ is open and transparent. Open because all interested
researchers and students can study or contribute to it. Transparent because all
performance improvements are detailed in publications.

SZ can be used for classic use-cases: visualization, accelerating I/O, reducing
memory and storage footprint and more advanced use-cases like compression of DNN
models and training sets, acceleration of computation, checkpoint/restart,
reducing streaming intensity and running efficiently large problems that cannot
fit in memory. Other use-cases will augment this list as users find new
opportunities to benefit from lossy compression of scientific data.

SZ has implementations on CPU, GPU, and FPGA and is integrated in the main I/O
libraries: HFD5, ADIOS, PnetCDF.

Number of commits found: 1
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