Accelerating Ab Initio Nucleon Structure Calculations with All-Mode-Averaging on Gordon

Proceedings of XSEDE16 : Diversity, Big Data, and Science at Scale : July 17-21, 2016, Intercontinental Miami Hotel, Miami, Florida, USA. Conference on Extreme Science and Engineering Discovery Environment (5th : 2016 : Miami, Fla.) Pub Date : 2014-07-13 DOI:10.1145/2616498.2616516

M. Lin, Y. Aoki, T. Blum, T. Izubuchi, C. Jung, S. Ohta, E. Shintani, T. Yamazaki, S. Sasaki

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Abstract

The composition of nucleons has long been known to be sub-atomic particles called quarks and gluons, which interact through the strong force and theoretically can be described by Quantum Chromodynamics (QCD). Lattice QCD (LQCD), in which the continuous space-time is translated into grid points on a four-dimensional lattice and ab initio Monte Carlo simulations are performed, is by far the only model-independent method to study QCD with controllable errors. We report the successful application of a novel algorithm, All-Mode-Averaging, in the LQCD calculations of nucleon internal structure on the Gordon supercomputer our award of roughly 6 million service units through XSEDE. The application of AMA resulted in as much as a factor of 30 speedup in computational efficiency.

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Gordon上的全模平均加速从头算核子结构计算

核子的组成一直被认为是亚原子粒子，称为夸克和胶子，它们通过强作用力相互作用，理论上可以用量子色动力学(QCD)来描述。晶格QCD (LQCD)是迄今为止研究误差可控的QCD的唯一一种模型无关的方法，它将连续时空转化为四维晶格上的网格点并进行从头算蒙特卡罗模拟。我们报告了一种新的算法，全模式平均，在戈登超级计算机上核子内部结构的LQCD计算的成功应用，我们通过XSEDE获得了大约600万个服务单位的奖励。AMA的应用使计算效率提高了30倍。

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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Proceedings of XSEDE16 : Diversity, Big Data, and Science at Scale : July 17-21, 2016, Intercontinental Miami Hotel, Miami, Florida, USA. Conference on Extreme Science and Engineering Discovery Environment (5th : 2016 : Miami, Fla.)

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