PDF-Introduction to OpenMPLecture 3: Parallel Regions

1 2 Code within a parallel region is executed by all threads Fortran OMP PARALLELOMP END PARALLEL CC pragmaompparallel 2 pragmaompparallel Often useful to find out number of threads b. 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 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-. Description . re-telling of history. facts. stories . what happened.. Analysis . SO WHAT?!. Why is it important?. What does this tell us about the topic/issue? (depends on the ? . a. sked). As a writer of history, your job is to do BOTH---. 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. Programming & Cluster Computing. Applications and. Types of Parallelism. Joshua Alexander, U Oklahoma. Ivan . Babic. , Earlham College. Michial. Green, Contra Costa College. Mobeen. . Ludin. , Earlham College. 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. 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:. Terminology. Objectives:. Identify the body regions & the planes that divide them. Understand the different meanings of terms of relation & apply it to your body parts & regions in the . anatomical position. 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. TWO TYPES OF FINGERPRINTS ARE KNOWN SO FAR !. Continued . Conventional fingerprint . of an individual comes from . finger tip . and unique for an . individual.. This . is used for identification of a person in forensic lab, police station etc. .