MULTITHREADING PERFORMANCE SIMULATING FRACTIONAL-ORDER MOISTURE TRANSPORT ON AMD EPYC

IF 0.1
Vsevolod Bohaienko, A. Gladky
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引用次数: 3

Abstract

The paper studies the performance of multithreaded parallel implementation of a finite-difference solver for a two-dimensional space-fractional generalization of Richards equation. For numerical solution we used implicit Crank-Nicholson scheme with L1-approximation of Caputo fractional derivative and TFQMR linear systems’ solver. OpenMP implementation was tested on three CPUs — server Intel Xeon Bronze 3104 and AMD EPYC 7542 along with laptop AMD Ryzen 3 5300U. Testing results show that the proposed implementation can give close-to-linear acceleration when executing on up to 8 cores. On high-performance AMD EPYC maximal acceleration was achieved when 32-64 cores were used showing limited scalability of the algorithms on such a CPU.
模拟微球上分数阶水分输送的多线程性能
本文研究了二维空间-分数型Richards方程有限差分求解器的多线程并行实现性能。对于数值解,我们使用了卡普托分数阶导数的l1逼近的隐式Crank-Nicholson格式和TFQMR线性系统的求解器。OpenMP的实现在三个cpu上进行了测试——服务器是Intel Xeon Bronze 3104和AMD EPYC 7542,笔记本是AMD Ryzen 3 5300U。测试结果表明,当在多达8个内核上执行时,所提出的实现可以提供接近线性的加速。在高性能AMD EPYC上,当使用32-64核时实现了最大加速,这表明在这种CPU上算法的可扩展性有限。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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