Version 1.2.0 for the Gpufit library (https://github.com/gpufit/Gpufit).
Binary files compiled with Microsoft Visual Studio 2019 and CUDA toolkit 11.4.
Release notes:
In this version:
- New fit model functions: Cubic spline representations of 1, 2, and 3 dimensional, multichannel data sets can be used as fit model functions (see the spline fit examples, documentation and https://github.com/gpufit/Gpuspline for creating sets of spline coefficients from data sets)
- Optional box constraints can be set on parameters (see the examples and documentation)
The binary package contains:
The Gpufit manual (PDF format)
- Gpufit SDK
- Matlab binding
- Python binding (the pyGpufit module)
- Java binding
- Usage examples written in C, Matlab, Python, and Java
- Executable application which tests Gpufit function and GPU performance
- License information
Note that two different versions of the Gpufit build are included with this release. One which makes use of cuBLAS (larger binary file size), and one which does not use cuBLAS. Use of cuBLAS increased fit speed in some use cases.
This package was compiled on October 13, 2021.
See license statement contained in the LICENSE.txt file.