zfp is a compressed format for representing multidimensional floating-point
and integer arrays. zfp provides compressed-array classes that support high
throughput read and write random access to individual array elements. zfp
also supports serial and parallel (OpenMP and CUDA) compression of whole
arrays, e.g., for applications that read and write large data sets to and
from disk.
zfp uses lossy but optionally error-bounded compression to achieve high
compression ratios. Bit-for-bit lossless compression is also possible
through one of zfp’s compression modes. zfp works best for 2D, 3D, and 4D
arrays that exhibit spatial correlation, such as continuous fields from
physics simulations, natural images, regularly sampled terrain surfaces, etc.
zfp compression of 1D arrays is possible but generally discouraged.
zfp is freely available as open source and is distributed under a BSD license.
zfp is primarily written in C and C++ but also includes Python and Fortran
bindings. zfp conforms to various language standards, including C89, C99,
C11, C++98, C++11, and C++14, and is supported on Linux, macOS, and Windows.
Quick Start
To download zfp, type:
git clone https://github.com/LLNL/zfp.git
zfp may be built using either CMake or
GNU make. To use CMake, type:
cd zfp
mkdir build
cd build
cmake ..
cmake --build . --config Release
ctest
This builds the zfp library in the build/lib directory and the zfp
command-line executable in the build/bin directory. It then runs
the regression tests. The full test suite may be run by enabling the
BUILD_TESTING_FULL CMake option during the build step.
zfp may also be built using GNU make:
cd zfp
make
make test
Note: GNU builds are less flexible and do not support all available features,
e.g., CUDA support.
For further configuration and build instructions, please consult the
documentation.
For examples of how to call the C library and use the C++ array classes,
see the examples
section.
Documentation
Full HTML documentation is
available online.
A PDF
version is also available.
Further information on the zfp software is included in these files:
ZFP
zfp is a compressed format for representing multidimensional floating-point and integer arrays. zfp provides compressed-array classes that support high throughput read and write random access to individual array elements. zfp also supports serial and parallel (OpenMP and CUDA) compression of whole arrays, e.g., for applications that read and write large data sets to and from disk.
zfp uses lossy but optionally error-bounded compression to achieve high compression ratios. Bit-for-bit lossless compression is also possible through one of zfp’s compression modes. zfp works best for 2D, 3D, and 4D arrays that exhibit spatial correlation, such as continuous fields from physics simulations, natural images, regularly sampled terrain surfaces, etc. zfp compression of 1D arrays is possible but generally discouraged.
zfp is freely available as open source and is distributed under a BSD license. zfp is primarily written in C and C++ but also includes Python and Fortran bindings. zfp conforms to various language standards, including C89, C99, C11, C++98, C++11, and C++14, and is supported on Linux, macOS, and Windows.
Quick Start
To download zfp, type:
zfp may be built using either CMake or GNU make. To use CMake, type:
This builds the zfp library in the
build/libdirectory and the zfp command-line executable in thebuild/bindirectory. It then runs the regression tests. The full test suite may be run by enabling theBUILD_TESTING_FULLCMake option during the build step.zfp may also be built using GNU make:
Note: GNU builds are less flexible and do not support all available features, e.g., CUDA support.
For further configuration and build instructions, please consult the documentation. For examples of how to call the C library and use the C++ array classes, see the examples section.
Documentation
Full HTML documentation is available online. A PDF version is also available.
Further information on the zfp software is included in these files:
Authors
zfp was originally developed by Peter Lindstrom at Lawrence Livermore National Laboratory. Please see the Contributors Page for a full list of contributors.
Citing zfp
If you use zfp for scholarly research, please cite this paper:
The algorithm implemented in the current version of zfp is described in the documentation and in the following paper:
License
zfp is distributed under the terms of the BSD 3-Clause license. See LICENSE and NOTICE for details.
SPDX-License-Identifier: BSD-3-Clause
LLNL-CODE-663824