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Design and Evaluation of a TOP100 Linux Super Cluster System
Umeå University, Faculty of Science and Technology, High Performance Compting Center North (HPC2N).
Umeå University, Faculty of Science and Technology, Department of Computing Science. Umeå University, Faculty of Science and Technology, High Performance Compting Center North (HPC2N).
Umeå University, Faculty of Science and Technology, Department of Computing Science. Umeå University, Faculty of Science and Technology, High Performance Compting Center North (HPC2N).
Umeå University, Faculty of Science and Technology, High Performance Compting Center North (HPC2N).
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2004 (English)In: Concurrency and Computation: Practice & Experiences, ISSN 1532-0634, Vol. 16, no 8, 735-750 p.Article in journal (Refereed) Published
Abstract [en]

The High Performance Computing Center North (HPC2N) Super Cluster is a truly self-made high-performance Linux cluster with 240 AMD processors in 120 dual nodes, interconnected with a high-bandwidth, low-latency SCI network. This contribution describes the hardware selected for the system, the work needed to build it, important software issues and an extensive performance analysis. The performance is evaluated using a number of state-of-the-art benchmarks and software, including STREAM, Pallas MPI, the Atlas DGEMM, High-Performance Linpack and NAS Parallel benchmarks. Using these benchmarks we first determine the raw memory bandwidth and network characteristics; the practical peak performance of a single CPU, a single dual-node and the complete 240-processor system; and investigate the parallel performance for non-optimized dusty-deck Fortran applications. In summary, this $500 000 system is extremely cost-effective and shows the performance one would expect of a large-scale supercomputing system with distributed memory architecture. According to the TOP500 list of June 2002, this cluster was the 94th fastest computer in the world. It is now fully operational and stable as the main computing facility at HPC2N. The system’s utilization figures exceed 90%, i.e. all 240 processors are on average utilized over 90% of the time, 24 hours a day, seven days a week.

Place, publisher, year, edition, pages
John Wiley & Sons, Inc. , 2004. Vol. 16, no 8, 735-750 p.
National Category
Computer Science
Research subject
Computing Science
Identifiers
URN: urn:nbn:se:umu:diva-9627DOI: 10.1002/cpe.787OAI: oai:DiVA.org:umu-9627DiVA: diva2:149298
Available from: 2008-05-05 Created: 2008-05-05 Last updated: 2011-02-22Bibliographically approved

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Edmundsson, NiklasElmroth, ErikKågström, BoNylén, MatsSandgren, ÅkeWadenstein, Mattias

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Edmundsson, NiklasElmroth, ErikKågström, BoNylén, MatsSandgren, ÅkeWadenstein, Mattias
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High Performance Compting Center North (HPC2N)Department of Computing Science
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