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# pfd-parallel - Massively Parallel Partial Fraction Decomposition
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Note: The information below, and further documentation, can be found in a more structured manner in the
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Note: The information below, and more details, can be found in our wiki
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<p align="center">
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<a href="https://github.com/singular-gpispace/pfd-parallel/wiki">Documentation of the pfd-parallel project</a>
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Our implementation is based on a combination of the following two algorithms:
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1) the approach described in the paper
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1) the enhanced Leinartas' algorithm described in the paper
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Janko Boehm, Marcel Wittmann, Zihao Wu, Yingxuan Xu, and Yang Zhang:
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IBP reduction coefficients made simple, JHEP 12 (2020) 054,
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which has been implemened in [Singular](https://www.singular.uni-kl.de) in the library
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[pfd.lib](https://github.com/Singular/Singular/blob/spielwiese/Singular/LIB/pfd.lib).
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2) MultivariateApart algorithm
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2) the MultivariateApart algorithm as described in
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Matthias Heller, Andreas von Manteuffel, Comput.Phys.Commun. 271 (2022) 108174
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Although applicable in general, its primary aim is the partial fraction
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Although applicable in general, the primary aim of our package is the partial fraction
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decomposition of integration-by-parts coefficients in high energy physics.
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Our package relies on code developed in the repository
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Our package relies on code developed in the repository
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[framework](https://github.com/singular-gpispace/framework)
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implemented primarily by Lukas Ristau.
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