PPT-Parallel Programming & Cluster Computing

Applications and Types of Parallelism Henry Neeman Director OU Supercomputing Center for Education amp Research University of Oklahoma Information Technology Oklahoma Supercomputing Symposium Tue Oct . 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 . CyberGIS. Keith T. Weber, GISP. GIS Director, ISU. Goal of this presentation. Introduce you to an another world of computing, analysis, and opportunity. Encourage you to learn more!. Some Terminology Up-Front. SC 10. New Orleans, USA. Nov 17, 2010. Azure . MapReduce. AzureMapReduce. A . MapRedue. runtime for Microsoft Azure using Azure cloud services. Azure Compute. Azure BLOB storage for in/out/intermediate data storage. Going Beyond Serial MATLAB Applications. MATLAB . Desktop (Client). Worker. Worker. Worker. Worker. Worker. Worker. Programming Parallel Applications (CPU). Built-in support. with t. oolboxes. Ease of Use. by Mahedi Hasan. 1. Table of Contents. Introducing Cluster Concept. About Cluster Computing. Concept of whole computers and it’s benefits. Architecture and Clustering Methods. Different clusters catagorizations. ENVIRONMENT. . The High Performance Computing environment consists of high-end systems used for executing complex number crunching applications for research it has two such machines and they are,. . Overview:. What the Heck is Supercomputing?. Joshua Alexander, U Oklahoma. Ivan . Babic. , Earlham College. Michial. Green, Contra Costa College. Mobeen. . Ludin. , Earlham College. Tom Murphy, Contra Costa College. :. Teaching and Training for . the Parallel Future. Dick Brown. St. Olaf College. SPLASH Educators’ and Trainers Symposium. October 24, 2011. Overview. Review of the need for parallelism. Strategies we need. How to Use Parallel Computing Toolbox™ and MATLAB® Distributed Computing Server™ on Discovery Cluster, . An EECE5640: High Performance Computing lecture. Benjamin Drozdenko. MathWorks TA & Graduate Research Assistant . The Tyranny of. the Storage Hierarchy. Henry Neeman, University of Oklahoma. Charlie Peck, Earlham College. Tuesday October 11 2011. Parallel Programming: . Storage . Hierarchy. OK Supercomputing Symposium, Tue Oct 11 2011. Early Adopter: ASU - Intel Collaboration in Parallel and Distributed Computing Yinong Chen , Eric Kostelich , Yann -Hang Lee, Alex Mahalov , Gil Speyer, and Violet R. Syrotiuk 1 st NSF /TCPP Workshop on Parallel and Distributed Computing Education ( Scientific Computing and Visualization. Boston . University. GPU Programming. GPU – graphics processing unit. Originally designed as a graphics processor. Nvidia's. GeForce 256 (1999) – first GPU. Research Computing Services. Boston . University. GPU Programming. Access to the SCC. Login: . tuta#. Password: . VizTut#. GPU Programming. Access to the SCC GPU nodes. # copy tutorial materials: . CS 6260. Professor: Elise De . Doncker. By: . Lina. Hussein. 1. Topics Covered :. Introduction. What is cluster computing?. Classification of Cluster Computing. Technologies:. Beowulf cluster. Construction of Beowulf Cluster.