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Multivariate partial fractioning is a powerful tool for simplifying rationalfunction coefficients in scattering amplitude computations. Since currentresearch problems lead to large sets of complicated rational functions,performance of the partial fractioning as well as size of the obtainedexpressions are a prime concern. We develop a large scale parallel frameworkfor multivariate partial fractioning, which implements and combines an improvedversion of Leinartas' algorithm and the {\sc MultivariateApart} algorithm. Ourapproach relies only on open source software. It combines parallelism over thedifferent rational function coefficients with parallelism for individualexpressions. The implementation is based on the\textsc{Singular}/\textsc{GPI-Space framework} for massively parallel computeralgebra, which formulates parallel algorithms in terms of Petri nets. Themodular nature of this approach allows for easy incorporation of futurealgorithmic developments into our package. We demonstrate the performance ofour framework by simplifying expressions arising from current multiloopscattering amplitude problems.

pfd-parallel, a Singular/GPI-Space package for massively parallel multivariate partial fractioning