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Analysis of performance differences of fem numerical integration algorithm on two generations of intel xe-lp gpus

• Filip Kruzel
• Mateusz Nytko

(2024). ECMS 2024, 38th Proceedings
Edited by: Daniel Grzonka, Natalia Rylko, Grazyna Suchacka, Vladimir Mityushev, European Council for Modelling and Simulation.
DOI: http://doi.org/10.7148/2024
ISSN: 2522-2422 (ONLINE)
ISSN: 2522-2414 (PRINT)
ISSN: 2522-2430 (CD-ROM)
ISBN: 978-3-937436-84-5
ISBN: 978-3-937436-83-8 (CD) Communications of the ECMS Volume 38, Issue 1, June 2024, Cracow, Poland June 4th – June 7th, 2024

https://doi.org/10.7148/2024-0208

Filip kruzel, Mateusz nytko (2024). Analysis of Performance Differences of FEM Numerical Integration Algorithm on Two Generations of Intel Xe-LP GPUs, ECMS 2024, Proceedings Edited by: Daniel Grzonka, Natalia Rylko, Grazyna Suchacka, Vladimir Mityushev, European Council for Modelling and Simulation. doi:10.7148/2024-0208

This article analyses the performance differences between two generations of integrated GPUs on the Finite Element Method (FEM) Numerical Integration Algorithm. The algorithm employs linear approximation in the convection-diffusion problem, where performance is highly memory-dependent. We used Intel 11th and 12th-generation processors with integrated GPUs based on Intel Xe-LP architecture to conduct our research. The GPUs have the same parameters except for the slightly lower bandwidth and a narrower bus in the newer architecture. This makes it an ideal choice to test the significance of the performance loss in the highly-parallel memory-bound algorithm. We also compare the two generations of GPUs in terms of their computational power, memory access patterns, and other relevant factors to identify all the sources of performance loss. Our research shows how a slight change in one parameter can affect the overall performance of an algorithm. Our experiments aim to provide insight into how different GPU architectures and generations affect FEM numerical integration performance.