Przybylski Adrian, Thiel Björn, Keller-Findeisen Jan, Stock Bernd, Bates Mark
Department of NanoBiophotonics, Max Planck Institute for Biophysical Chemistry, Am Fassberg 11, Göttingen, 37077, Germany.
Faculty of Natural Sciences and Technology, University of Applied Sciences and Arts, Von-Ossietzkystraße 99, Göttingen, 37085, Germany.
Sci Rep. 2017 Nov 16;7(1):15722. doi: 10.1038/s41598-017-15313-9.
We present a general purpose, open-source software library for estimation of non-linear parameters by the Levenberg-Marquardt algorithm. The software, Gpufit, runs on a Graphics Processing Unit (GPU) and executes computations in parallel, resulting in a significant gain in performance. We measured a speed increase of up to 42 times when comparing Gpufit with an identical CPU-based algorithm, with no loss of precision or accuracy. Gpufit is designed such that it is easily incorporated into existing applications or adapted for new ones. Multiple software interfaces, including to C, Python, and Matlab, ensure that Gpufit is accessible from most programming environments. The full source code is published as an open source software repository, making its function transparent to the user and facilitating future improvements and extensions. As a demonstration, we used Gpufit to accelerate an existing scientific image analysis package, yielding significantly improved processing times for super-resolution fluorescence microscopy datasets.
我们展示了一个通用的开源软件库,用于通过Levenberg-Marquardt算法估计非线性参数。该软件Gpufit运行在图形处理单元(GPU)上,并并行执行计算,从而显著提高性能。与基于CPU的相同算法相比,我们测得Gpufit的速度提升高达42倍,且精度和准确性没有损失。Gpufit的设计使其易于融入现有应用程序或适用于新的应用程序。包括C、Python和Matlab在内的多个软件接口确保了在大多数编程环境中都可以使用Gpufit。完整的源代码作为开源软件库发布,使用户能够了解其功能,并便于未来的改进和扩展。作为演示,我们使用Gpufit加速了现有的科学图像分析软件包,显著缩短了超分辨率荧光显微镜数据集的处理时间。