Constructing PineAPPL grids on hardware accelerators
Stefano Carrazza, Juan M. Cruz-Martinez, Christopher Schwan
TL;DR
This paper demonstrates how to implement PineAPPL grids for fast Monte Carlo interpolation using VegasFlow on hardware accelerators, comparing CPU and GPU performance for grid filling operations.
Contribution
It introduces a method to construct PineAPPL grids on hardware accelerators with implementation details and performance comparison between CPU and GPU.
Findings
GPU outperforms CPU in grid filling speed
Synchronous and asynchronous filling methods are effective
Implementation enables faster Monte Carlo simulations
Abstract
In this proceedings we demonstrate how to implement and construct the PineAPPL grids, designed for fast-interpolation of Monte Carlo simulation with electroweak and QCD corrections, using the VegasFlow framework for Monte Carlo simulation on hardware accelerators. We provide an example of synchronous and asynchronous filling operations of PineAPPL grids from Monte Carlo events generated by VegasFlow. We compare the performance of this procedure on multithreading CPU and GPU.
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