PPT-High Performance Computing

Computing is changing more rapidly than ever before and scientists have the unprecedented opportunity to change computing directions In 20 or 30 years youll 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 . 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. . 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.. Cloud computing is a model for enabling . convenient. , . on-demand network access . to a . shared pool . of . configurable computing resources . (e.g., networks, servers, storage, applications, and services) [Mell_2009], [Berkely_2009]. . ITS Research Computing. Mark Reed. Overview – Research Computing. Resources. Services. Projects. ReCo Resources. Computational Resources. compute clusters: Longleaf, Killdevil, . Dogwood. Special purpose servers: . Working Group Break-Out Session Discussion. IMAG MSM Meeting 2017. Compiled by Portonovo S. Ayyaswamy and Ravi Radhakrishnan, University of Pennsylvania. High-Performance Computing (HPC) WG Goals. Initiate discussion, foster collaboration, share know-how on (but not limited) to:. Overview. July 3 2013. Geoffrey Fox for FutureGrid Team. gcf@indiana.edu. . . http://www.infomall.org. . http://www.futuregrid.org. . School of Informatics and Computing. Digital Science Center. 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. Andrea Valassi (IT-DI-LCG). WLCG GDB – 9. th. November 2016. Performance talks at the WLCG Workshop. Dedicated session (1.5 hours) on the 2. nd. Workshop day (Sunday morning). Talks from each experiment and from activities in CERN IT (. GRID COMPUTING. Aloysius Airlangga Bajuadji, S.Kom, M.Eng. aabayuadji@yahoo.com. | . aabayuadji@gmail.com. Bayu R Langga. 1. High Performance Computing | 2012. 3. GRID COMPUTING. Adalah. . sekumpulan. 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.