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相关论文: A scalable PC-based parallel computer for lattice …

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We study the feasibility of a PC-based parallel computer for medium to large scale lattice QCD simulations. The E\"otv\"os Univ., Inst. Theor. Phys. cluster consists of 137 Intel P4-1.7GHz nodes with 512 MB RDRAM. The 32-bit, single…

高能物理 - 格点 · 物理学 2009-11-07 Z. Fodor , S. D. Katz , G. Papp

A computational system for lattice QCD with exact chiral symmetry is described. The platform is a home-made Linux PC cluster, built with off-the-shelf components. At present this system constitutes of 64 nodes, with each node consisting of…

高能物理 - 格点 · 物理学 2011-02-16 Ting-Wai Chiu , Tung-Han Hsieh , Chao-Hsi Huang , Tsung-Ren Huang

We outline the essential features of a Linux PC cluster which is now being developed at National Taiwan University, and discuss how to optimize its hardware and software for lattice QCD with overlap Dirac quarks. At present, the cluster…

高能物理 - 格点 · 物理学 2011-02-16 Ting-Wai Chiu , Tung-Han Hsieh , Chao-Hsi Huang , Tsung-Ren Huang

Lattice Gauge Theory is an integral part of particle physics that requires high performance computing in the multi-Tflops regime. These requirements are motivated by the rich research program and the physics milestones to be reached by the…

计算物理 · 物理学 2007-05-23 A. Gellrich , D. Pop , P. Wegner , H. Wittig , M. Hasenbusch , K. Jansen

The architecture of a new class of computers, optimized for lattice QCD calculations, is described. An individual node is based on a single integrated circuit containing a PowerPC 32-bit integer processor with a 1 Gflops 64-bit IEEE…

高能物理 - 格点 · 物理学 2010-11-15 D. Chen , N. H. Christ , C. Cristian , Z. Dong , A. Gara , K. Garg , B. Joo , C. Kim , L. Levkova , X. Liao , R. D. Mawhinney , S. Ohta , T. Wettig

We describe the construction of a high performance parallel computer composed of PC components, as well as the performance test in lattice QCD.

高能物理 - 格点 · 物理学 2009-11-07 X. Q. Luo , E. Gregory , H. Xi , J. Yang , Y. Wang , Y. Lin , H. Ying

Current PC processors are equipped with vector processing units and have other advanced features that can be used to accelerate lattice QCD programs. Clusters of PCs with a high-bandwidth network thus become powerful and cost-effective…

高能物理 - 格点 · 物理学 2007-05-23 Martin Lüscher

We review the architecture of massively parallel machines used for lattice QCD simulations and present benchmarks for the performance of popular algorithms on these platforms. We cover commercial supercomputers, PC clusters, and…

高能物理 - 格点 · 物理学 2016-09-01 Tilo Wettig

The QCDSP computer (Quantum Chromodynamics on Digital Signal Processors) is an inexpensive, massively parallel computer intended primarily for simulations in lattice gauge theory. Currently, two large QCDSP machines are in full-time use: an…

高能物理 - 格点 · 物理学 2007-05-23 Robert D. Mawhinney

We describe the construction of a high performance parallel computer composed of PC components, present some physical results for light hadron and hybrid meson masses from lattice QCD. We also show that the smearing technique is very useful…

高能物理 - 格点 · 物理学 2007-05-23 Xiang-Qian Luo , Zhong-Hao Mei , Eric B. Gregory , Jie-Chao Yang , Yu-Li Wang , Yin Lin

Using commodity component personal computers based on Alpha processor and commodity network devices and a switch, we built an 8-node parallel computer. GNU/Linux is chosen as an operating system and message passing libraries such as PVM,…

高能物理 - 格点 · 物理学 2015-06-25 Seyong Kim

I highlight recent progress in cluster computer technology and assess status and prospects of cluster computers for lattice QCD with respect to the development of QCDOC and apeNEXT. Taking the LatFor test case, I specify a 512-processor…

高能物理 - 格点 · 物理学 2009-11-10 Thomas Lippert

QPACE is a novel parallel computer which has been developed to be primarily used for lattice QCD simulations. The compute power is provided by the IBM PowerXCell 8i processor, an enhanced version of the Cell processor that is used in the…

We present an overview of our project of simulation of unquenched lattice QCD with optimal domain-wall quarks, using a GPU cluster currently constituting of 16 units of Nvidia Tesla S1070 plus 64 graphic cards with Nvidia GTX285 (total 128…

高能物理 - 格点 · 物理学 2019-08-13 Ting-Wai Chiu , Tian-Shin Guu , Tung-Han Hsieh , Chao-Hsi Huang , Yu-Ying Lee , Yao-Yuan Mao , Kenji Ogawa , Po-Kai Tseng

QPACE is a novel massively parallel architecture optimized for lattice QCD simulations. A single QPACE node is based on the IBM PowerXCell 8i processor. The nodes are interconnected by a custom 3-dimensional torus network implemented on an…

高能物理 - 格点 · 物理学 2011-03-08 Y. Nakamura , A. Nobile , D. Pleiter , H. Simma , T. Streuer , T. Wettig , F. Winter

In the last several years, tightly coupled PC clusters have become widely applied, cost effective resources for lattice gauge computations. This paper discusses the practice of building such clusters, in particular balanced design…

高能物理 - 格点 · 物理学 2009-11-10 D. J. Holmgren

QCDOC is a massively parallel supercomputer whose processing nodes are based on an application-specific integrated circuit (ASIC). This ASIC was custom-designed so that crucial lattice QCD kernels achieve an overall sustained performance of…

Graphics Processing Units (GPUs) are having a transformational effect on numerical lattice quantum chromodynamics (LQCD) calculations of importance in nuclear and particle physics. The QUDA library provides a package of mixed precision…

高能物理 - 格点 · 物理学 2010-12-06 Ronald Babich , Michael A. Clark , Bálint Joó

An overview is given of the QCDOC architecture, a massively parallel and highly scalable computer optimized for lattice QCD using system-on-a-chip technology. The heart of a single node is the PowerPC-based QCDOC ASIC, developed in…

高能物理 - 格点 · 物理学 2007-05-23 P. A. Boyle , C. Jung , T. Wettig

The exponential growth of floating point power in graphics processing units (GPUs), together with their low cost, has given rise to an attractive platform upon which to deploy lattice QCD calculations. GPUs are essentially many (O(100))…

高能物理 - 格点 · 物理学 2010-11-05 M. A. Clark
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