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| IT Management > Systems Operations > Networking > |
High Performance Computing
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ALSO CALLED: HPC, High-Performance Clusters, High-Performance Computing, and High Performance Clusters
DEFINITION: High-performance computing (HPC) is the use of parallel processing for running advanced application programs efficiently, reliably and quickly. The term applies especially to systems that function above a teraflop or 1012 floating-point operations
Definition continues below.
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Sapphire DNS Anycast
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Posted: 09 Jun 2008 | Published: 01 Mar 2008
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Business Velocity on a New Scale Resource Center
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Customers in all markets are seeing demand for new levels of storage performance, flexibility, and scalability to cope with today's data intensive environments. This Resource Center highlights technologies that can help you achieve this.
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Fast Enough Isn't Good Enough: Web Site Performance Metrics for the New Millennium
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The Cost of Poor Performance: Why Customers Need External Performance Monitoring
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Discover the real costs of poor performance. Find out how much downtime costs monetarily and the areas that it affects most.
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Enabling NAS Clusters: The Silicon Storage Appliance
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Managing a high volume of servers is difficult and time consuming. Imagine scaling as fast as you need without expensive re-architecting. Discover a next-level solution that enables large-scale shared data clusters via an integrated SAN and...
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HIGH PERFORMANCE COMPUTING DEFINITION (continued):
per second. The term HPC is occasionally used as a synonym for supercomputing, although technically a supercomputer is a system that performs at or near the currently highest operational rate for computers. Some supercomputers work at more than a petaflop or 10 15 floating-point operations per second. The most common users of HPC systems are scientific researchers, engineers and academic institutions. Some government agencies, particularly the military,
High Performance Computing definition sponsored by SearchEnterpriseLinux.com, powered by WhatIs.com an online computer dictionary
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