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Performance Modeling and Comparisons of an FPGA-based Direct Simulation Monte Carlo Solver

Saleen Bhattarai, Edwin Peters, Sean O'Byrne, David Petty

Research output: Chapter in Book/Report/Conference proceedingConference Paperpeer-review

Abstract

We present an FPGA-based DSMC solver using a novel spatially-parallel collision evaluation algorithm, eliminating race conditions common in conventional DSMC methods. Our solver maintains high accuracy and achieves speedups of up to 5.5× over CPU and 1.5× over GPU implementations in low particle counts, particularly benefiting microscale flow scenarios requiring numerous repeated simulations.

Original languageEnglish
Title of host publicationProceedings - 2025 IEEE 33rd Annual International Symposium on Field-Programmable Custom Computing Machines, FCCM 2025
Place of PublicationFayetteville, AR, USA
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages294-294
ISBN (Electronic)979-8-3315-0281-2
ISBN (Print)979-8-3315-0282-9
DOIs
Publication statusPublished - May 2025
Event33rd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, FCCM 2025 - Fayetteville, United States
Duration: 4 May 20257 May 2025
https://ieeexplore.ieee.org/xpl/conhome/11008901/proceeding

Publication series

NameProceedings of the Annual IEEE Symposium on Field-Programmable Custom Computing Machines
PublisherIEEE Computer Society
ISSN (Print)2576-2613
ISSN (Electronic)2576-2621

Conference

Conference33rd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, FCCM 2025
Country/TerritoryUnited States
CityFayetteville
Period4/05/257/05/25
Internet address

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