Accelerating Scientific Model Optimization with a Pipelined FPGA-Based Differential Evolution Engine [Poster]
| UDC.coleccion | Investigación | |
| UDC.conferenceTitle | FCCM 2025 | |
| UDC.departamento | Enxeñaría de Computadores | |
| UDC.grupoInv | Grupo de Arquitectura de Computadores (GAC) | |
| UDC.institutoCentro | CITIC - Centro de Investigación de Tecnoloxías da Información e da Comunicación | |
| dc.contributor.author | Castro, Manuel de | |
| dc.contributor.author | Osorio, Roberto | |
| dc.contributor.author | Torres, Yuri | |
| dc.contributor.author | Llanos, Diego R. | |
| dc.date.accessioned | 2026-04-29T09:56:28Z | |
| dc.date.available | 2026-04-29T09:56:28Z | |
| dc.date.issued | 2025-05 | |
| dc.description | Poster presented at 2025 IEEE 33rd Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 04-07 May 2025, Fayetteville, AR, USA. https://www.fccm.org/poster-list-2025/ No mesmo simposio presentáronse traballo e poster. | |
| dc.description.sponsorship | This work was supported by Spanish MICIU and the ERDF Program of the EU, (NATASHA Project, Grant PID2022-142292NB-I00); by Junta de Castilla y León-FEDER Grants, (PROPHET-2 Project), Junta de Castilla y León, Spain under Grant VA226P20; by MCIN/AEI/10.13039/ 501100011033 through “European Union NextGenerationEU/PRTR,” (Grant TED2021–130367B–I00); and by MCIN/AEI/10.13039/501100011033 through the ERDF Program of the EU (Grant PID2022-136435NB-I00). Manuel de Castro was supported by Spanish MICIU through Ayudas para la Formación de Profesorado Universitario FPU 2022. This research was supported by grants from NVIDIA (A100). The authors would like to thank Sergio Alonso Pascual for his help developing the GPU software used. | |
| dc.description.sponsorship | Junta de Castilla y León; VA226P20 | |
| dc.identifier.citation | M. de Castro, R. R. Osorio, Y. Torres and D. R. Llanos, "Accelerating Scientific Model Optimization with a Pipelined FPGA-Based Differential Evolution Engine" [Poster], 2025 IEEE 33rd Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), Fayetteville, AR, USA, 2025. | |
| dc.identifier.uri | https://hdl.handle.net/2183/48136 | |
| dc.language.iso | eng | |
| dc.publisher | IEEE | |
| dc.relation.isversionof | M. de Castro, R. R. Osorio, Y. Torres and D. R. Llanos, "Accelerating Scientific Model Optimization with a Pipelined FPGA-Based Differential Evolution Engine", 2025 IEEE 33rd Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), Fayetteville, AR, USA, 2025, pp. 283-283, doi: 10.1109/FCCM62733.2025.00055. | |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-142292NB-I00/ES/NUEVAS TECNOLOGIAS AVANZADAS PARA ADAPTAR APLICACIONES CIENTIFICAS PARA SU EJECUCION EN ARQUITECTURAS HETEROGENEAS | |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2024/TED2021-130367B-I00/ES/MONITORIZACION DIGITAL RAPIDA DE ECOSISTEMAS FLUVIALES | |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-136435NB-I00/ES/ARQUITECTURAS, FRAMEWORKS Y APLICACIONES DE LA COMPUTACION DE ALTAS PRESTACIONES | |
| dc.rights | © 2025 | |
| dc.rights.accessRights | open access | |
| dc.subject | Diferential evolution | |
| dc.subject | FPGA | |
| dc.subject | Numerical integration | |
| dc.subject | Scientific Model Optimization | |
| dc.title | Accelerating Scientific Model Optimization with a Pipelined FPGA-Based Differential Evolution Engine [Poster] | |
| dc.type | conference output | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | eac2943b-5be2-46e9-9816-09ae10df6b76 | |
| relation.isAuthorOfPublication.latestForDiscovery | eac2943b-5be2-46e9-9816-09ae10df6b76 |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- Osorio_RobertoR_2025_Poster_Accelerating_Scientific_Model_Optimization.pdf
- Size:
- 513.85 KB
- Format:
- Adobe Portable Document Format

