PPT-Parallel Computing

with OpenMP Dan Negrut 2012 UWMadison Dan Negrut SimulationBased Engineering Lab Wisconsin Applied Computing Center Department of Mechanical Engineering Department of Electrical and Computer Engineering. 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 Performance Theory - 1. Parallel Computing. CIS . 410/. 510. Department of Computer and Information Science. Outline. Performance scalability. Analytical performance measures. Amdahl. ’. s. law and Gustafson-. Parallel Computing. CIS . 410/. 510. Department of Computer and Information Science. Outline. What is the fork-join concept?. What is the fork-join pattern?. Programming Model Support for Fork-Join. Recursive Implementation of Map. Copyright © 2014 by ScaleOut Software, Inc.. Portland Big Data Users Group. October 23, 2014. Bill . Bain, CEO . (. wbain@scaleoutsoftware.com). What Is Operational Intelligence?. Example: Tracking Cable Viewers. 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. Parallel Computing. CIS . 410/. 510. Department of Computer and Information Science. Outline. Quick review of hardware architectures. Running on supercomputers. Message Passing. MPI. 2. Introduction to Parallel Computing, University of Oregon, IPCC. Luke Winslow. OWI a-la-carte. Overview. What is Parallel Computing. Example Uses. Intro to Condor. Demo. Parallel Computing. Cluster. Why would I need this?. Dealing with Large Datasets. Lake Shape Characteristics. Dr Susan Cartwright. Dept of Physics and Astronomy. University of Sheffield. Parallel Universes. Are you unique?. Could there be another “you” differing only in what you had for breakfast this morning?. Phil Pennington. Sr. Developer Evangelist. Microsoft Corporation. SESSION CODE: WSV325. Required Slide. AGENDA. Technical_Computing. = Parallel (Platform Tools Solvers Analysis);. Technical Computing @ Microsoft. By: Roshan Kathir, Javakar Jeyanathan, Theodore Egube. What is Quantum Computing?. Computing using quantum mechanics. Very powerful technology to allow extremely fast computing . Uses . qubits . instead of bits. 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:. Recall: Microprocessors are classified by how memory is organized. Tightly-coupled multiprocessor systems use the same memory. They are also referred to as . shared memory multiprocessors. .. The processors do not necessarily have to share the same block of physical memory: . 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 . 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.