PPT-Parallel Programming with MPI

Slides Available at httpsanlboxcomv2019ANLMPI Rajeev Thakur Email thakuranlgov Web httpwwwmcsanlgovthakur Pavan Balaji Email balajianlgov Web httpwwwmcsanlgovbalaji. 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 Junchao. Zhang. Argonne National Laboratory. jczhang@anl.gov. Pavan Balaji. Argonne National Laboratory. balaji@anl.gov. Ken . Raffenetti. Argonne National Laboratory. raffenet@anl.gov. Bill. . Long. Coarray Fortran. Chaoran Yang,. 1. Wesley Bland,. 2. John Mellor-Crummey,. 1. Pavan Balaji. 2. 1. Department of Computer Science. Rice University. Houston, TX. 2. Mathematics and Computer Science Division. MPJ Express. Aamir. . Shafi. ashafi@mit.edu. Contributors. 2. Aamir. . Shafi. Jawad. . Manzoor. Kamran. . Hamid. Mohsan. . Jameel. Rizwan. . Hanif. Amjad. Aziz. Bryan Carpenter. Mark Baker. Guillermo . Pavan Balaji. 1. , Darius Buntinas. 1. , David Goodell. 1. , William Gropp. 2. , and Rajeev Thakur. 1. 1 . Argonne National Laboratory. 2 . University of Illinois at Urbana-Champaign. 2. Motivation. Multicore processors are ubiquitous. 3/ 25 PACX-MPI LA-MPI 4/ 25 Open MPI Code Structure Operating system OMPI 6/ 25 Open Message Passing Interface User application MPI API MPI Component Architecture (MCA) Allocator Shared Mem. Infiband. Why An ARB?. Consider long-view – what does MPI need to remain. relevant for the future? . Consider big picture – are features proposed for (or already part of) MPI consistent with the MPI?. Recommend – What should the MPI Forum consider?. 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. Applications and. Types of Parallelism. Henry Neeman, Director. OU Supercomputing Center for Education & Research. University of Oklahoma Information Technology. Oklahoma Supercomputing Symposium, Tue Oct . 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. Multicore Panel at eScience 2008. December . 11 2008. Geoffrey Fox. Community Grids Laboratory. , . School of informatics . Indiana University. gcf@indiana.edu. , . http://www.infomall.org. Lessons. Not surprising . with . MPI. Based on . the . tutorial from the Argonne . National . Laboratory. https://www.mcs.anl.gov/~. raffenet/permalinks/argonne19_mpi.php. . CS 475. By Dr. Ziad A. Al-Sharif. Outline. Part . 1. 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. Fall 2015. Lars Ailo Bongo (larsab@cs.uit.no). Course topics. Parallel programming. The parallelization process. Optimization of parallel programs. Performance analysis. Data-intensive computing. Parallel programs.