Enabling Performance Portability for Shallow Water Equations on CPUs, GPUs, and FPGAs with SYCL
Büttner M, Alt C, Kenter T, Köstler H, Plessl C, Aizinger V (2024)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2024
Publisher: Association for Computing Machinery
City/Town: New York, NY
Pages Range: 11
Conference Proceedings Title: PASC '24: Proceedings of the Platform for Advanced Scientific Computing Conference
Event location: Zürich
ISBN: 9798400706394
Abstract
In order to make the best use of the diverse hardware architectures in present and future high-performance computers, developers and maintainers of scientific simulation codes strive for performance portability. The goal is to reach a good fraction of the hardware-specific practically achievable performance while maintaining a largely unified codebase. In benchmarks and first production codes, SYCL has been demonstrated to be a promising programming model for this purpose when targeting different CPU and GPUs.
In this work, we utilize SYCL to develop a performance portable implementation of the 2D shallow water equations, discretized on unstructured triangular meshes using the discontinuous Galerkin method with polynomial orders zero, one, and two. In addition to GPUs from three and CPUs from two vendors, we also broaden the scope of target architectures by including Intel Stratix FPGAs with a fundamentally different execution model. We show that with a few targeted and encapsulated specializations, it is possible to adapt the execution flow to the respective targets. The performance analysis shows how FPGAs complement the other two architectures with particularly good performance for small problem sizes.
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Germany (DE)How to cite
APA:
Büttner, M., Alt, C., Kenter, T., Köstler, H., Plessl, C., & Aizinger, V. (2024). Enabling Performance Portability for Shallow Water Equations on CPUs, GPUs, and FPGAs with SYCL. In PASC '24: Proceedings of the Platform for Advanced Scientific Computing Conference (pp. 11). Zürich, CH: New York, NY: Association for Computing Machinery.
MLA:
Büttner, Markus, et al. "Enabling Performance Portability for Shallow Water Equations on CPUs, GPUs, and FPGAs with SYCL." Proceedings of the PASC '24: Platform for Advanced Scientific Computing Conference, Zürich New York, NY: Association for Computing Machinery, 2024. 11.
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