'Data parallel' diaporamas de présentation

Introduction to Supercomputers, Architectures and High Performance Computing

Amit Majumdar Scientific Computing Applications Group SDSC Many others: Tim Kaiser, Dmitry Pekurovsky, Mahidhar Tatineni, Ross Walker. Introduction to Supercomputers, Architectures and High Performance Computing. Topics. Intro to Parallel Computing Parallel Machines

1.38k views • 114 slides

6.1

Chapter 6. Synchronous Computations. 6.1. Synchronous Computations. In a (fully) synchronous application, all the processes synchronized at regular points. Barrier. A basic mechanism for synchronizing processes - inserted at the point in each process where it must wait.

1k views • 78 slides

Introduction

Introduction. What is parallel computing? Why go parallel? When do you go parallel? What are some limits of parallel computing? Types of parallel computers Some terminology. Slides and examples at:. http://peloton.sdsc.edu/~tkaiser/mpi_stuff. What is Parallelism?.

740 views • 59 slides

Programming clusters with DryadLINQ

Programming clusters with DryadLINQ . Mihai Budiu Microsoft Research, Silicon Valley HPC & GPU Supercomputing Group of Silicon Valley Dec 5 , 2011. Design Space. Grid. Internet. Data- parallel. X. Search. Shared memory. D ata center. Transaction. HPC. Latency (interactive).

581 views • 46 slides

Computer architecture II

Computer architecture II. Introduction. Plan for today. Parallelization strategies What to partition? Embarrassingly Parallel Computations Divide-and-Conquer Pipelined Computations Application examples Parallelization steps 3 programming models Data parallel Shared memory

596 views • 46 slides

Parallel Programming Models

Parallel Programming Models. Shared Memory (without threads) Threads Distributed Memory / Message Passing Data Parallel Hybrid Single Program Multiple Data (SPMD) Multiple Program Multiple Data (MPMD). Parallel Programming Models.

668 views • 39 slides

Chapel: Data Parallelism

703 views • 36 slides

May 30 2013

Cloud Computing and Large Scale Computing in the Life Sciences: Opportunities for Large Scale Sequence Processing. Geoffrey Fox gcf@indiana.edu http://www.infomall.org http://www.futuregrid.org School of Informatics and Computing Digital Science Center Indiana University Bloomington.

484 views • 35 slides

Visualization and Analysis of Petascale Molecular Dynamics Simulations

Visualization and Analysis of Petascale Molecular Dynamics Simulations. John E. Stone Theoretical and Computational Biophysics Group Beckman Institute for Advanced Science and Technology University of Illinois at Urbana-Champaign http://www.ks.uiuc.edu/Research/gpu/ GPU Computing Symposium

478 views • 34 slides

Parallel Programming Languages

382 views • 24 slides

Applications of HPJava

Applications of HPJava. Bryan Carpenter, Geoffrey Fox, Han-Ku Lee and Sang Boem Lim Community Grids Lab Indiana University www.hpjava.org. Introduction. HPJava is an environment for data-parallel and SPMD programming on distributed-memory parallel computers (e.g. clusters).

357 views • 24 slides

System Simulation Of 1000-cores Heterogeneous SoCs

System Simulation Of 1000-cores Heterogeneous SoCs. Shivani Raghav Embedded System Laboratory (ESL) Ecole Polytechnique Federale de Lausanne (EPFL). Price profile N. Price profile 1. Load profile N. Load profile 1. w. $. $. w. now. now. now. now.

307 views • 21 slides

???????????? FMM ????

???????????? FMM ????. ?? ?????? ???? 2010. ????. ???? ???? N-body ???? FMM ???? ?? FMM ??????? ??. ????. ????? ???????????????????? ?? 863 ??????? 2009AA012201 ? ?????????????? 08dz501600 ? ??????????????????????? ?????? ????????? ??? / ?????? ????

454 views • 21 slides

Ct: C for Throughput Computing Channeling NeSL and SISAL through C++

360 views • 21 slides

Programming Abstractions for Multicore Clouds

Programming Abstractions for Multicore Clouds. eScience 2008 Conference Workshop on Abstractions for Distributed Applications and Systems December 11 2008 Indianapolis, Indiana. Geoffrey Fox gcf@indiana.edu , http://www.infomall.org Community Grids Laboratory, School of Informatics

355 views • 20 slides

Hardware Acceleration of Parallel Prefix Algorithms

Hardware Acceleration of Parallel Prefix Algorithms. Peter Scott (Project leader) Avinash Srinivasa Vaibhav Sundriyal. What is parallel prefix?. Finding parallelism in serial-looking problems. Take an array, like [1, 3, 2, 1] Find partial sums: [1, 1+3, 1+3+2, 1+3+2+1]

269 views • 13 slides

PARSEC FACESIM

PARSEC FACESIM. study and parallelization Dmitri Makarov, Dmitri Shtilman. facesim facts. iterative numerical methods: data parallel (floating point computation). size of the problem: ~370K tetrahedrons. included in PARSEC. C++ application.

367 views • 10 slides

Ocelot and the SST- MacSim Simulator

Ocelot and the SST- MacSim Simulator. Hyesoon Kim, Jaewoong Sim, Joo Hwan Lee School of Computer Science and School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta, GA. 30332. System Diversity. Amazon EC2 GPU Instances. Mobile Platforms.

277 views • 8 slides

CS 584 Lecture 15

CS 584 Lecture 15. Assignment? (Due Friday) Program model Speedup calculations Paper reviews Friday paper presentations Glenn Judd (SuperWeb) Matt Probst (Unet). C* Programming Review. Data parallel language The parallel data structure is the shape

188 views • 8 slides

Introductory Courses in High Performance Computing at Illinois

Introductory Courses in High Performance Computing at Illinois. David Padua. Our oldest course. 420 Parallel Programming for Scientists and Engineers. Course intended for non-CS majors (but many CS students take it). Taught once a year for the last 20 years.

170 views • 6 slides