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 language | English |
|---|---|
| Title of host publication | Proceedings - 2025 IEEE 33rd Annual International Symposium on Field-Programmable Custom Computing Machines, FCCM 2025 |
| Place of Publication | Fayetteville, AR, USA |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 294-294 |
| ISBN (Electronic) | 979-8-3315-0281-2 |
| ISBN (Print) | 979-8-3315-0282-9 |
| DOIs | |
| Publication status | Published - May 2025 |
| Event | 33rd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, FCCM 2025 - Fayetteville, United States Duration: 4 May 2025 → 7 May 2025 https://ieeexplore.ieee.org/xpl/conhome/11008901/proceeding |
Publication series
| Name | Proceedings of the Annual IEEE Symposium on Field-Programmable Custom Computing Machines |
|---|---|
| Publisher | IEEE Computer Society |
| ISSN (Print) | 2576-2613 |
| ISSN (Electronic) | 2576-2621 |
Conference
| Conference | 33rd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, FCCM 2025 |
|---|---|
| Country/Territory | United States |
| City | Fayetteville |
| Period | 4/05/25 → 7/05/25 |
| Internet address |
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