Performance and Scalability Study of FMM Kernels on Novel Multi- and Many-core Architectures | Zendy

Antón Rey | Zendy; Francisco D. Igual | Zendy; Manuel Prieto | Zendy; Jan F. Prins | Zendy

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Performance and Scalability Study of FMM Kernels on Novel Multi- and Many-core Architectures

Author(s) -

Antón Rey,

Francisco D. Igual,

Manuel Prieto,

Jan F. Prins

Publication year - 2017

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2017.05.128

Subject(s) - computer science , xeon phi , scalability , parallel computing , kernel (algebra) , xeon , fast multipole method , multi core processor , computer architecture , granularity , many core , operating system , multipole expansion , physics , mathematics , combinatorics , quantum mechanics

We provide efficient implementations of common Fast Multipole Method (FMM) tasks for modern multi-core (Intel Xeon Haswell), many-core (Intel Xeon Phi Knights Landing) and Nvidia Pascal GPUs, offering optimization guidelines for each kernel and architecture, and exposing task granularity issues with evaluations on performance and scalability. These results motivate the use of hybrid execution models for FMM in heterogeneous architectures, in which per-kernel execution configurations are set by the kernel adaptability to the processor.

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