PPT-HIGH PERFORMANCE COMPUTING

Author : shangmaxi | Published Date : 2020-08-28

Konsep Aloysius Airlangga Bajuadji SKom MEng aabayuadjiyahoocom aabayuadjigmailcom Bayu R Langga 1 High Performance Computing 2013 Sistem Perkuliahan Ada 14

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HIGH PERFORMANCE COMPUTING: Transcript


Konsep Aloysius Airlangga Bajuadji SKom MEng aabayuadjiyahoocom aabayuadjigmailcom Bayu R Langga 1 High Performance Computing 2013 Sistem Perkuliahan Ada 14 Tatap Muka Prosentase Penilaian. Uni processor computing can be called centralized computing brPage 3br mainframe computer workstation network host network link terminal centralized computing distributed computing A distributed system is a collection of independent computers interc “Computing . is changing more rapidly than ever before, and scientists have the unprecedented opportunity to change computing . directions” . “In . 20 or 30 years, you'll be able to hold in your hand as much computing knowledge as exists now in the whole city, or even the whole world. ITS Research Computing. Lani. Clough, Mark Reed. markreed@unc.edu. . Objectives. Introductory. level MATLAB course for people who want to learn . parallel and GPU computing . in MATLAB.. Help participants . IT4GIS. Keith T. Weber, GISP. GIS Director. ISU-GIS Training and Research Center. Goal of this presentation. Describe and demystify “The Cloud”. What is it?. How is it different from web services?. GRID COMPUTING. Today's science is much based on computation, data analysis, and collaboration as on the efforts of individual experimentalists and theorists.. Grid computing. is the application of several computers to a single problem at the same time. . By: . Monisha. A25. What . is Pervasive Computing. ?. Pervasive . computing is . the availability . of computational power on demand in your vicinity to such a degree that information processing has been integrated into everyday objects and activities.. Soheila Abrishami. 1. Introduction. Cloud computing is emerging as an alternative to supercomputers for some of the high-performance computing (HPC) applications that do not require a fully dedicated machine. Khalid Muhammad. 1. History of Quantum Computing. Bits and Qubits. Problems with the Quantum Machine. Who Introduced the Idea?. Khalid Muhammad. 1. Introduction to Quantum Computing. Soviet scientist Yuri . SLA Basics. Describes a set of non functional requirements of the service.. Example : RTO time – Return to Operation Time if case of failure. SLO – Service Level Objective. That is, the objective to be achieved.. Your Role. Who do you see as your sponsors ?. Who do we see as your stakeholders?. How often should you meet with them?. What do they expect of you?. What do you see as your key challenges?. What could be . o. n behalf . of the . Trigger. /DAQ/Offline/. Computing . Preparatory Group. ALICE: Pierre . Vande. . Vyvre. , Thorsten . Kollegger. , Predrag Buncic; ATLAS: David Rousseau, Benedetto . Gorini. , Nikos . Mike . Pangburn. Relevance to companies?. Cloud . Computing will be of particular relevance to the following types of firms:. Cash-lean firms. Firms not already heavily invested in previously installed systems/software. Dept. of Computer Science and Engineering. University of South Carolina. Dr. Jason D. . Bakos. Assistant Professor. Heterogeneous and Reconfigurable Computing Lab (HeRC). This material is based upon work supported by the National Science Foundation under Grant Nos. CCF-0844951 and CCF-0915608.. , collected data is streamed to a central server and data . is processed . on a powerful central server which is usually far away from the . data source.. Cloud Computing or simply “the . Cloud. ”,is.

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