28 research outputs found

    apeNEXT: A multi-TFlops Computer for Simulations in Lattice Gauge Theory

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    We present the APE (Array Processor Experiment) project for the development of dedicated parallel computers for numerical simulations in lattice gauge theories. While APEmille is a production machine in today's physics simulations at various sites in Europe, a new machine, apeNEXT, is currently being developed to provide multi-Tflops computing performance. Like previous APE machines, the new supercomputer is largely custom designed and specifically optimized for simulations of Lattice QCD.Comment: Poster at the XXIII Physics in Collisions Conference (PIC03), Zeuthen, Germany, June 2003, 3 pages, Latex. PSN FRAP15. Replaced for adding forgotten autho

    The apeNEXT project (Status report)

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    We present the current status of the apeNEXT project. Aim of this project is the development of the next generation of APE machines which will provide multi-teraflop computing power. Like previous machines, apeNEXT is based on a custom designed processor, which is specifically optimized for simulating QCD. We discuss the machine design, report on benchmarks, and give an overview on the status of the software development.Comment: Talk from the 2003 Computing in High Energy and Nuclear Physics (CHEP03), La Jolla, Ca, USA, March 2003, 8 pages, LaTeX, 12 eps figures. PSN THIT00

    Status of the apeNEXT project

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    We present the current status of the apeNEXT project. Aim of this project is the development of the next generation of APE machines which will provide multi-teraflop computing power. Like previous machines, apeNEXT is based on a custom designed processor, which is specifically optimized for simulating QCD. We discuss the machine design, report on benchmarks, and give an overview on the status of the software development

    apeNEXT: A Multi-Tflops LQCD Computing Project

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    This paper is a slightly modified and reduced version of the proposal of the {\bf apeNEXT} project, which was submitted to DESY and INFN in spring 2000. .It presents the basic motivations and ideas of a next generation lattice QCD (LQCD) computing project, whose goal is the construction and operation of several large scale Multi-TFlops LQCD engines, providing an integrated peak performance of tens of TFlops, and a sustained (double precision) performance on key LQCD kernels of about 50% of peak speed

    Computing for LQCD: apeNEXT

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    The apeNEXT system is the latest in the APE collaboration's series of parallel computers for computationally intensive calculations such as quantum chromodynamics on the lattice. The authors describe the computer architectural choices that have been shaped by almost two decades of collaboration activity

    Computing for LQCD : apeNEXT

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    apeNEXT is the latest in the APE collaboration's series of parallel computers for computationally intensive calculations such as quantum chromo dynamics on the lattice. The authors describe the computer architectural choices that have been shaped by almost two decades of collaboration activity

    The apeNEXT project

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    In this talk we report on the status of the apeNEXT project. apeNEXT is the last of a family of parallel computers designed, in a research environment, to provide multi-teraflops computing power to scientists involved in heavy numerical simulations. The architecture and the custom chip are optimized for Lattice QCD (LQCD) calculations but the favourable price performance ratio and the good efficiency for other kind of calculations make it a quite interesting tool for a large class of scientific problems

    apeNEXT: a multi-TFlops computer for elementary particle physics

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    We present the apeNEXT project which is currently developing a massively parallel computer with a multi-TFlops performance. Like previous APE machines. the new supercomputer is completely custom designed and is specifically optimized for simulating the theory of strong interactions, quantum chromodynamics (QCD). We assess the performance for key application kernels and make a comparison with other machines used for these kind of simulations. Finally, we give an outlook on future developments
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