Project 5: Building a Reproducible GPU Workflow Simulation and Analysis for Particle Physics

This project explores the development of an end-to-end GPU-based simulation workflow to study neutrinos and help answer fundamental questions about the nature of matter and the evolution of the universe. 

Project Description

DUNE, the Deep Underground Neutrino Experiment, is a multi-institutional project spanning three states that seeks to better understand the properties of neutrinos, helping scientists to answer fundamental questions about the nature of matter and the evolution of the universe. Key parts of the experiment are the simulations of DUNE detectors before building them. 

This project provides participants with hands-on experience using a real GPU-based simulation workflow called larnd-sim on an HPC environment. This includes setting up the environment, running jobs, profiling, parameter scans, validation, and reproducibility tracking. Through this process, participants gain practical experience in reproducible workflow design, GPU job execution, output validation, and performance analysis in a real scientific computing environment.

No particle physics background is required.