集群计算vs. Cray t3e -一个来自数值场理论的案例研究

G. Arnold, N. Eicker, T. Lippert, K. Schilling
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引用次数: 1

摘要

我们比较了运行在集群计算机ALiCE (Alpha-Linux-Cluster-Engine)和Cray T3E-1200系统上的晶格量子电动力学模拟代码的性能。我们给出了使用新的并行多范式混合蒙特卡罗算法的模拟结果。我们将多范式模拟技术与混合蒙特卡罗算法相结合,实现了一种并行方案,从而能够利用高性能并行计算机来对抗臭名昭著的亚稳态。在这个应用领域,我们证明ALiCE比Cray T3E-1200优越约1.3到2倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cluster computing vs. Cray T3E-a case study from numerical field theory
We compare the performance of a simulation code for lattice quantum electrodynamics, running on the cluster computer ALiCE (Alpha-Linux-Cluster-Engine) and the Cray T3E-1200 system. We present results from simulations using the novel parallelized multicanonical hybrid Monte Carlo algorithm. We merge multicanonical simulation techniques with the hybrid Monte Carlo algorithm to achieve a parallel scheme, and thus to be able to fight the notorious metastabilities by use of high performance parallel computers. We demonstrate for this application field that ALiCE is superior to the Cray T3E-1200 by factors of about 1.3 to 2.
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