Port details |
- sz3 Modular Error-bounded Lossy Compression Framework for Scientific Datasets
- 3.3.0 science
=0 3.2.1Version of this port present on the latest quarterly branch. - Maintainer: sunpoet@FreeBSD.org
 - Port Added: 2025-02-03 15:57:18
- Last Update: 2025-09-07 23:03:20
- Commit Hash: 546dbe4
- 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.
 ¦ ¦ ¦ ¦ 
- Manual pages:
- FreshPorts has no man page information for this port.
- pkg-plist: as obtained via:
make generate-plist - USE_RC_SUBR (Service Scripts)
- no SUBR information found for this port
- Dependency lines:
-
- 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 = 1757120532
SHA256 (szcompressor-SZ3-v3.3.0_GH0.tar.gz) = c6b9e114e5849911e14334fca14eaf30f9a84d4bbe681a1f32d3be62ec68fb52
SIZE (szcompressor-SZ3-v3.3.0_GH0.tar.gz) = 128524
Packages (timestamps in pop-ups are UTC):
- Dependencies
- NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.
- Build dependencies:
-
- cmake : devel/cmake-core
- ninja : devel/ninja
- pkgconf>=1.3.0_1 : devel/pkgconf
- Test dependencies:
-
- googletest>=0 : devel/googletest
- Library dependencies:
-
- libgsl.so : math/gsl
- libzstd.so : archivers/zstd
- This port is required by:
- for Libraries
-
- graphics/py-imagecodecs
Configuration Options:
- No options to configure
- Options name:
- science_sz3
- USES:
- cmake:testing pkgconfig
- FreshPorts was unable to extract/find any pkg message
- Master Sites:
|
Commit History - (may be incomplete: for full details, see links to repositories near top of page) |
Commit | Credits | Log message |
3.3.0 07 Sep 2025 23:03:20
    |
Po-Chuan Hsieh (sunpoet)  |
science/sz3: Update to 3.3.0
- Add make test
Changes: https://github.com/szcompressor/SZ3/releases
https://github.com/szcompressor/SZ3/commits/master |
3.2.1 03 Feb 2025 15:50:42
    |
Po-Chuan Hsieh (sunpoet)  |
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. |