In this work we demonstrate the usage of the VegasFlow library on multidevice situations: multi-GPU in one single node and multi-node in a cluster. VegasFlow is a new software for the fast evaluation of highly parallelizable integrals based on Monte Carlo integration.
It is inspired by the Vegas algorithm, very often used as the driver of cross section integrations and based on Google's powerful TensorFlow library.
In this proceedings we consider a typical multi-GPU configuration to benchmark how different batch sizes can increase (or decrease) the performance on a Leading Order example integration.
Volume 390 -
40th International Conference on High Energy physics (ICHEP2020) -
Parallel: Computing and Data Handling
VegasFlow: accelerating Monte Carlo simulation across platforms
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Pre-published on:
February 26, 2021
Published on:
April 15, 2021
Abstract
DOI: https://doi.org/10.22323/1.390.0906
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Copyright owned by the author(s) under the term of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright owned by the author(s) under the term of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.