FIESTA 4: optimized Feynman integral calculations with GPU support
Alexander V. Smirnov

TL;DR
FIESTA 4 introduces GPU support and optimization techniques to significantly enhance the performance and scalability of Feynman integral calculations, enabling more efficient and accurate numerical evaluations for large-scale problems.
Contribution
The paper presents a major update to FIESTA, adding GPU support and optimization features that improve performance, stability, and scalability for Feynman integral computations.
Findings
GPU support accelerates numerical integration.
Optimizations enable handling larger sampling points efficiently.
Improved stability reduces computational errors.
Abstract
This paper presents a new major release of the program FIESTA (Feynman Integral Evaluation by a Sector decomposiTion Approach). The new release is mainly aimed at optimal performance at large scales when one is increasing the number of sampling points in order to reduce the uncertainty estimates. The release now supports graphical processor units (GPU) for the numerical integration, methods to optimize cluster-usage, as well as other speed, memory, and stability improvements.
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