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Islands-of-Cores Approach for Harnessing SMP/NUMA Architectures in Heterogeneous Stencil Computations
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SYSNO ASEP 0482853 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Islands-of-Cores Approach for Harnessing SMP/NUMA Architectures in Heterogeneous Stencil Computations Author(s) Szustak, L. (PL)
Wyrzykowski, R. (PL)
Jakl, Ondřej (UGN-S) RIDNumber of authors 3 Source Title Parallel Computing Technologies. PaCT 2017. Lecture Notes in Computer Science. - Berlin : Springer Verlag, 2017 / Malyshkin V. - ISBN 978-3-319-62931-5 Pages s. 351-364 Number of pages 14 s. Publication form Online - E Action International Conference, PaCT 2017 /14./ Event date 04.09.2017 - 08.09.2017 VEvent location Nizhny Novgorod Country RU - Russian Federation Event type WRD Language eng - English Country DE - Germany Keywords shared memory system ; stencil computations ; work-load distribution Subject RIV BA - General Mathematics OECD category Applied mathematics R&D Projects LD15105 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) Institutional support UGN-S - RVO:68145535 UT WOS 000444105600034 EID SCOPUS 85028708294 DOI 10.1007/978-3-319-62932-2_34 Annotation SMP/NUMA systems are powerful HPC platforms which could be applied for a wide range of real-life applications. These systems provide large capacity of shared memory, and allow using the shared-variable programming model to take advantages of shared memory for inter-process communications and synchronizations. However, as data can be physically dispersed over many nodes, the access to various data items may require significantly different times. In this paper, we face the challenge of harnessing the heterogeneous nature of SMP/NUMA communications for a complex scientific application which implements the Multidimensional Positive Definite Advection Transport Algorithm (MPDATA), consisting of a set of heterogeneous stencil computations. When using our method of MPDATA workload distribution, which was successfully applied for small-scale shared memory systems with several CPUs and/or accelerators, significant performance losses are noticeable for larger SMP/NUMA systems, such as SGI UV 2000 server used in this work. To overcome this shortcoming, we propose a new islands-of-cores approach. It exposes a correlation between computation and communication for heterogeneous stencils, and enables an efficient management of trade-off between computation and communication costs in accordance with the features of SMP/NUMA systems. In consequence, when using the maximum configuration with 112 cores of 14 Intel Xeon E5-4627v2 3.3 GHz processors, the proposed approach accelerates the previous method more then 10 times, achieving about 390 Gflop/s, or approximately 30% of the theoretical peak performance. Workplace Institute of Geonics Contact Lucie Gurková, lucie.gurkova@ugn.cas.cz, Tel.: 596 979 354 Year of Publishing 2018 Electronic address https://link.springer.com/chapter/10.1007/978-3-319-62932-2_34#citeas
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