PPT-Introduction to Parallel

Programming amp Cluster Computing Applications and Types of Parallelism Joshua Alexander U Oklahoma Ivan Babic Earlham College Michial Green Contra Costa College Mobeen Ludin Earlham College. Unlike sequential algorithms parallel algorithms cannot be analyzed very well in isolation One of our primary measures of goodness of a parallel system will be its scalability Scalability is the ability of a parallel system to take advantage of incr 1 2 Code within a parallel region is executed by all threads. Fortran: !$OMP PARALLEL!$OMP END PARALLEL C/C++: #pragmaompparallel 2 #pragmaompparallel Often useful to find out number of threads b 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. CUDA Lecture 1. Introduction to Massively Parallel Computing. A quiet revolution and potential buildup. Computation: TFLOPs . vs. . 100 GFLOPs. CPU in every PC – massive volume and potential impact. Dr. Guy Tel-. Zur. Lecture 10. Agenda. Administration. Final presentations. Demos. Theory. Next week plan. Home assignment #4 (last). Final Projects. Next Sunday: Groups 1-1. 6. will present. Next Monday: Groups 1. Andrew Jaffe. Computing Club. 4/5/2015. Overview. Introduction. multicore . Array jobs. The rest. Introduction. Based roughly on: McCallum and Weston. Parallel R. 2012 (O’Reilly Book), so consult for the more complicated methods. Parallel Computing. CIS . 410/. 510. Department of Computer and Information Science. Outline. Partitioning. What is the stencil pattern?. Update alternatives. 2D Jacobi iteration. SOR and Red/Black SOR. 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?. & Cluster Computing. Stupid Compiler Tricks. Josh Alexander, University of Oklahoma. Ivan . Babic. , Earlham College. Andrew Fitz Gibbon, Shodor Education Foundation Inc.. Henry Neeman, University of Oklahoma. modelS. CS 5802 . Monica Borra. Overview. Types of parallel programming models. Shared memory Model. OpenMP. POSIX Threads. Cilk. /. Cilk. Plus/. Cilk. Plus . Plus. Thread Building Blocks. Types of Parallel Programming Models:. We will Study …. Concurrency . Parallelism. Distributed computing. Evaluation. Assignments 40%, . Minor-1 15%, . Minor-2 15%, . Major 30%. Plagiarism is unacceptable. Offenders will be . penalized by a failing.