429 citations · 891 across the 38 of their papers we have counts for
6 papers · 1 filter
Extending MadFlow: device-specific optimization
Stefano Carrazza, Juan M. Cruz-Martinez, Gabriele Palazzo
In this proceedings we demonstrate some advantages of a top-bottom approach in the development of hardware-accelerated code. We start with an autogenerated hardware-agnostic Monte…
MadFlow: automating Monte Carlo simulation on GPU for particle physics processes
Stefano Carrazza, Juan Cruz-Martinez, Marco Rossi +1
We present MadFlow, a first general multi-purpose framework for Monte Carlo (MC) event simulation of particle physics processes designed to take full advantage of hardware accelera…
Towards the automation of Monte Carlo simulation on GPU for particle physics processes
Stefano Carrazza, Juan Cruz-Martinez, Marco Rossi +1
In this proceedings we present MadFlow, a new framework for the automation of Monte Carlo (MC) simulation on graphics processing units (GPU) for particle physics processes. In orde…
VegasFlow: accelerating Monte Carlo simulation across platforms
Juan M. Cruz-Martinez, Stefano Carrazza
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…
VegasFlow: accelerating Monte Carlo simulation across multiple hardware platforms
Stefano Carrazza, Juan M. Cruz-Martinez
We present VegasFlow, a new software for fast evaluation of high dimensional integrals based on Monte Carlo integration techniques designed for platforms with hardware accelerators…
Studying the parton content of the proton with deep learning models
Juan M Cruz-Martinez, Stefano Carrazza, Roy Stegeman
Parton Distribution Functions (PDFs) model the parton content of the proton. Among the many collaborations which focus on PDF determination, NNPDF pioneered the use of Neural Netwo…