Document Type
Thesis
Date of Degree Completion
Summer 2025
Degree Name
Master of Science (MS)
Department
Computational Science
Committee Chair
Andrew Piacsek
Second Committee Member
Szilard VAJDA
Third Committee Member
Michael Braunstein
Abstract
Physical simulations always need to balance accuracy and run-time. This work implements the Parareal Algorithm using graphics processing units across a distributed system to accurately simulate time-dependent physics while attempting to minimize runtime. Data-transfer latency is identified as the primary bottleneck, for which mitigation methods are provided. Benchmarks comparing single-GPU and distributed implementations on a spectrum of coarse and fine discretizations are analyzed.
Recommended Citation
Chapman, Nathan W., "Scalable Parallel-in-Time Integration for Equations of Motion" (2025). All Master's Theses. 2260.
https://digitalcommons.cwu.edu/etd/2260
Included in
Numerical Analysis and Scientific Computing Commons, Ordinary Differential Equations and Applied Dynamics Commons, Other Computer Sciences Commons, Other Physics Commons