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Gpufit: An open-source toolkit for GPU-accelerated curve fitting
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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5691161/ https://www.ncbi.nlm.nih.gov/pubmed/29146965 http://dx.doi.org/10.1038/s41598-017-15313-9 |
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author | Przybylski, Adrian Thiel, Björn Keller-Findeisen, Jan Stock, Bernd Bates, Mark |
author_facet | Przybylski, Adrian Thiel, Björn Keller-Findeisen, Jan Stock, Bernd Bates, Mark |
author_sort | Przybylski, Adrian |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5691161 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-56911612017-11-29 Gpufit: An open-source toolkit for GPU-accelerated curve fitting Przybylski, Adrian Thiel, Björn Keller-Findeisen, Jan Stock, Bernd Bates, Mark Sci Rep Article 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. Nature Publishing Group UK 2017-11-16 /pmc/articles/PMC5691161/ /pubmed/29146965 http://dx.doi.org/10.1038/s41598-017-15313-9 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Przybylski, Adrian Thiel, Björn Keller-Findeisen, Jan Stock, Bernd Bates, Mark Gpufit: An open-source toolkit for GPU-accelerated curve fitting |
title | Gpufit: An open-source toolkit for GPU-accelerated curve fitting |
title_full | Gpufit: An open-source toolkit for GPU-accelerated curve fitting |
title_fullStr | Gpufit: An open-source toolkit for GPU-accelerated curve fitting |
title_full_unstemmed | Gpufit: An open-source toolkit for GPU-accelerated curve fitting |
title_short | Gpufit: An open-source toolkit for GPU-accelerated curve fitting |
title_sort | gpufit: an open-source toolkit for gpu-accelerated curve fitting |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5691161/ https://www.ncbi.nlm.nih.gov/pubmed/29146965 http://dx.doi.org/10.1038/s41598-017-15313-9 |
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