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arXiv:1805.07439astro-ph.IM

Acceleration of Non-Linear Minimisation with PyTorch

Bojan Nikolic

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Abstract

I show that a software framework intended primarily for training of neural networks, PyTorch, is easily applied to a general function minimisation problem in science. The qualities of PyTorch of ease-of-use and very high efficiency are found to be applicable in this domain and lead to two orders of magnitude improvement in time-to-solution with very small software engineering effort.

arXiv comments
5 pages, 2 figures, 2 program listings. Full source code available at: https://github.com/bnikolic/oof/
Journal reference
DOI
Subjects
astro-ph.IMInstrumentation and Methods for Astrophysics physics.data-anData Analysis, Statistics and Probability

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