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The following document is intended to be suitable for inclusion in a grant submission, where information regarding Universities computing facilities is required.
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In August 2007, the FSU HPC underwent a major upgrade, increasing the number of processor cores and memory by a factor of three and doubling the amount of storage. To minimize downtime during the upgrade, extensive benchmarking was put off until the next scheduled maintenance period (10/14/2008). During this maintenance period performance benchmarks were run in order to determine the HPL benchmark of the upgraded system. The theoretical peak performance of the upgraded system (AKA Rpeak) is 15.1 TeraFlops, ranking FSU's HPC among leading computing systems worldwide. The FSU HPC performance on the new 1024 barcelona nodes was measured to be 7.6 TF which is an HPL efficiency of 81%. The 512 Dual-core opteron nodes were independently measured to perform the HPL benchmarkl at 2.3 TF. The total system capability (independently measured) is 9.9 TF. During the downtime on 10/14/2008, the filesystem performance was also measured. With 10 panasas shelves and 96 writers, the system had a data-to-disk rate of over 3.0 GB/sec.
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The FSU HPC consists of 12 login nodes, 526 compute nodes (2688 cores), 156 TB usable storage, and Infiniband and IP communication fabrics. The system is divided up into general access and owner-based components. The general access part consists of 812 cores and the owner-based part consists of 1876 cores. The owner-base part is divide among COAPS (512 cores, 49.2 TB), Meteorology (152 cores, 22.4 TB), the Department of Scientific Computing (256 cores, 23 TB), the Kostov Engineering group (64 cores, 4.7 TB), the Taylor group (172 cores, 12.5 TB), the Gunzburg group (184 cores, 13.5 TB), the Department of Physics (152 cores, 11.3 TB), the Institute of Molecular Biophysics (IMB) (280 cores, 20.8 TB), the Bruschweiler group (64 cores, 4.8 TB), Torrey Pines Institute for Molecular Studies (40 cores, 3 TB). Each of these units provided funds this year or last for compute and storage components.
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