Architectural Adaptation and Performance-Energy Optimization for CFD Application on AMD EPYC Rome

The advantages of the second-generation AMD EPYC Rome processors can be successfully used in the race to Exascale. However, the novel architecture's complexity makes it challenging to adapt demanding scientific codes - like stencil ones - to platforms with Rome CPUs. This article tackles this c...

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Bibliographic Details
Published in:IEEE transactions on parallel and distributed systems Vol. 32; no. 12; pp. 2852 - 2866
Main Authors: Szustak, Lukasz, Wyrzykowski, Roman, Kuczynski, Lukasz, Olas, Tomasz
Format: Journal Article
Language:English
Published: New York IEEE 01.12.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Adaptation
AMD EPYC Rome
Central processing units
CFD
Computational fluid dynamics
Computer architecture
CPUs
Energy efficiency
Memory management
MPDATA
Optimization
performance portability
Processors
Program processors
Servers
shared-memory programming
ISSN:1045-9219, 1558-2183
Online Access:Get full text
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Summary:The advantages of the second-generation AMD EPYC Rome processors can be successfully used in the race to Exascale. However, the novel architecture's complexity makes it challenging to adapt demanding scientific codes - like stencil ones - to platforms with Rome CPUs. This article tackles this challenge by exploring the adaptation of the stencil-based CFD (computational fluid dynamics) application called MPDATA to these processors' influential features. We show that the previously proposed parametric adaptation methodology can be profitably applied to extend the performance portability of the memory-bound MPDATA on the AMD EPYC architecture. The extension of the parametric adaptation on the novel architecture requires careful consideration of two relevant aspects that reflect splitting the Rome architecture into multiple dies - features of the cache hierarchy and partitioning cores into work teams. The article also investigates the correlation between the performance optimizations and energy efficiency for a ccNUMA platform powered by top-of-the-line 64-core AMD Rome 7742 CPUs, comparing the results against two servers with Intel Xeon Scalable processors of different generations. Even without appealing to prices, the achieved performance and energy efficiency results are a solid argument confirming the competitiveness of AMD Rome processors against Intel Xeon CPUs in scientific applications.
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ISSN:1045-9219
1558-2183
DOI:10.1109/TPDS.2021.3078153