XSBench on FPGAs using Intel oneAPI

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F24%3A00137349" target="_blank" >RIV/00216224:14330/24:00137349 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.epj-conferences.org/articles/epjconf/abs/2024/12/epjconf_snamc2024_04007/epjconf_snamc2024_04007.html" target="_blank" >https://www.epj-conferences.org/articles/epjconf/abs/2024/12/epjconf_snamc2024_04007/epjconf_snamc2024_04007.html</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1051/epjconf/202430204007" target="_blank" >10.1051/epjconf/202430204007</a>

Jazyk výsledku

angličtina

Název v původním jazyce

XSBench on FPGAs using Intel oneAPI

Popis výsledku v původním jazyce

Field-Programmable Gate Arrays (FPGAs) are becoming an interesting component for heterogeneous computing systems in the post-Moore era thanks to their reconfigurable nature. The current generation of FPGAs includes specialized hard blocks for floating point operations, making them attractive for scientific computing. FPGA programming has historically been done in hardware description languages, which required a deep understanding of hardware design. Emerging high-level synthesis tools, such as Intel oneAPI and AMD Vitis™, provide a more common programming environment for FPGAs. In this paper, we explore the capabilities of FPGAs for acceleration in the context of nuclear particle transport simulators. As a case study, we implement XS-Bench in Intel oneAPI targeting FPGAs, including basic optimizations. We then compare the performance of Intel Stratix10 FPGA and Intel Xeon CPU-based systems and evaluate the viability of FPGA use in heterogeneous systems.

Název v anglickém jazyce

XSBench on FPGAs using Intel oneAPI

Popis výsledku anglicky

Field-Programmable Gate Arrays (FPGAs) are becoming an interesting component for heterogeneous computing systems in the post-Moore era thanks to their reconfigurable nature. The current generation of FPGAs includes specialized hard blocks for floating point operations, making them attractive for scientific computing. FPGA programming has historically been done in hardware description languages, which required a deep understanding of hardware design. Emerging high-level synthesis tools, such as Intel oneAPI and AMD Vitis™, provide a more common programming environment for FPGAs. In this paper, we explore the capabilities of FPGAs for acceleration in the context of nuclear particle transport simulators. As a case study, we implement XS-Bench in Intel oneAPI targeting FPGAs, including basic optimizations. We then compare the performance of Intel Stratix10 FPGA and Intel Xeon CPU-based systems and evaluate the viability of FPGA use in heterogeneous systems.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

EPJ Web of Conferences

ISBN

—

ISSN

2100-014X

e-ISSN

2100-014X

Počet stran výsledku

9

Strana od-do

1-9

Název nakladatele

EDP Sciences

Místo vydání

Francie

Místo konání akce

Paříž, Francie

Datum konání akce

20. 10. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001368146400032