Lecture 12 GRID, NANO_QUANTUM, & SUPER COMPUTING SPR 2018.pdf - FUNDAMENTALS OF IT Spring 2018 Dr Rosenbaum Lecture 12 Grid Nano\/Quantum Super


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Spring 2018 Dr. Rosenbaum FUNDAMENTALS OF IT Lecture 12: Grid, Nano/Quantum, & Super Computing
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Announcements Annotated bibliographies are available Due on November 15 and December 1 Programming modules due by Nov 30 Semester project due November 5 no exceptions
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This Week Grid Computing Nano / Quantum Computing Super Computing
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Grid Computing
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Grid Computing What it is Grid Computing: Grid computing is app lying resources of m any computers in a network to a single probl em at the sa me time Usually to a s cientific or technical problem that requires a gre at number of computer processing cycles or access to large amounts of data Resource sharing & coordinated problem solving in dynamic, multi- inst itutional virtual organizations Idle systems in the network and their wasted CPU cycles can be efficiently used by pooling resources of servers, storage systems and networks into a single large virtual system for resource sharing dynamically at runtime
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Grid Computing What it is Grid Computing: A distributed form of networking resource sharing of processors and data storage among other items, that focuses on the communications and process capabilities of combined yet geographically diverse computer systems to reach a main objective Efficiently utilize wasted cycles, forming working cycles The share of computing power and data storage is by means of Internet Efficient, bala nced use of computing resources O pen standardization encourages industry to invest in developing commercial grid services and infrastructure
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Grid Computing To share individual networked resources that are geographically separated to solve problems faster Many large-scale problems cannot be solved by a single computer Form of Dis tributed supercomputing Many large-scale problems cannot be solved by a single computer Why Grid Computing: 40% of Mainframes idle 95% of PC servers are idle 0-15% of Mainframes idle during peak-hour 70% of PC servers are idle during peak-hour 90% of UNIX/Linux servers are idle
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Grid Computing Why Grid Computing: Distributed supercomputing Hig h-throughput, On-demand, & C ollaborative computing There are some large scale problems which require analysis of high volumes of data (of the order of petabytes) to derive an inference Such problems thus need computing resources (say processing power of the order of t eraflops , secure dependable networks and storage) often for which even a supercomputer does not suffice
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Grid Computing Grid Computing for What Purpose: L ife sciences analyze bio logical and ch emical information. Finan cial services- for complex financial models. Higher education data and computation-intensive research.
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