Exploration of Efficient Update Methods in Lattice Gauge Theory

Event Sponsor: 
Argonne Leadership Computing Facility Seminar
Start Date: 
Mar 18 2019 - 10:30am
Building/Room: 
Building 240/Room 4301
Location: 
Argonne National Laboratory
Speaker(s): 
Sam Foreman
Speaker(s) Title: 
University of Iowa
Host: 
Katherine Riley

We describe a new technique for performing Hamiltonian Monte Carlo (HMC) simulations using an alternative leapfrog integrator that is parameterized by weights in a neural network. We look at applying this technique to a two-dimensional Gaussian Mixture Model and a two-dimensional U(1) lattice gauge theory, and compare the results against traditional HMC. Ongoing issues and potential areas for improvement are discussed, particularly within the context of HPC and long-term goals of the lattice QCD community.

Miscellaneous Information: 

This Seminar will be streamed. See details at https://anlpress.cels.anl.gov/ce ls-seminars/

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