Automated tuning for HMC mass ratios

We extended previous work on tuning HMC parameters using gradient information to include Hasenbusch mass ratios. The inclusion of mass ratios adds many more parameters that need to be tuned, and also allows for lots of variations in the choice of integrator pattern. We investigate the effectiveness of automatically tuning a large number of HMC parameters and compare the optimally tuned versions over a range of integrator variants.

Authors

Institutions

Publication Details

Published
2025-02-13
DOI
https://doi.org/10.22323/1.466.0052
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Automated tuning for HMC mass ratios

Sam Foreman, George Fleming, James C. Osborn, J. Torsiello et al.
Advanced MRI Techniques and Applications
article

Automated tuning for HMC mass ratios

Sam Foreman, George Fleming, James C. Osborn, J. Torsiello, J. Torsiello
article en

Abstract

We extended previous work on tuning HMC parameters using gradient information to include Hasenbusch mass ratios. The inclusion of mass ratios adds many more parameters that need to be tuned, and also allows for lots of variations in the choice of integrator pattern. We investigate the effectiveness of automatically tuning a large number of HMC parameters and compare the optimally tuned versions over a range of integrator variants.

Argonne National Laboratory (US), Fermi National Accelerator Laboratory (US), Temple College (US)
U.S. Department of Energy, China Scholarship Council, Office of Science, Advanced Scientific Computing Research, High Energy Physics, Argonne National Laboratory, Fermilab
Affordable and clean energy
Openalex Percentile: Top 96%
Advanced MRI Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.