SYCL Code Generation for Multigrid Methods

S. Groth, C. Schmitt, J. Teich and F. Hannig. Published in: ACM, May 2019, pages 41–44. ISBN: 978-1-4503-6762-2

Information

• DOI: https://doi.org/10.1145/3323439.3323984
• RIS: https://ris.uni-paderborn.de/record/16223

Abstract

Multigrid methods are fast and scalable numerical solvers for partial differential equations (PDEs) that possess a large design space for implementing their algorithmic components. Code generation approaches allow formulating multigrid methods on a higher level of abstraction that can then be used to derive a problem- and hardware-specific solutions. Since these problems have a considerable implementation variability, it is crucial to investigate a general mapping of core components in multigrid methods to the target software. With SYCL there exists a high-level C++ abstraction layer that is capable of targeting a multitude of architectures. We contribute a general way to map multigrid components to SYCL functionality and provide a performance evaluation for specific algorithmic component.