'Single program multiple data' diaporamas de présentation

COS 497 - Cloud Computing 2. Distributed Computing

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Parallel Computing with MATLAB

Parallel Computing with MATLAB. Jemmy Hu SHARCNET HPC Consultant University of Waterloo SHARCNET Summer School 2011. https://www.sharcnet.ca/~jemmyhu/tutorials/ss2011. Agenda. PART 1 - Parallel Computing Toolbox - Task Parallelization - Data Parallelization - Batch mode

1.16k views • 63 slides

Multicore Salsa Parallel Programming 2.0

Multicore Salsa Parallel Programming 2.0. SC07 Reno Nevada November 14 2007 Geoffrey Fox, Huapeng Yuan, Seung-Hee Bae Community Grids Laboratory, Indiana University Bloomington IN 47404 Xiaohong Qiu Research Computing UITS , Indiana University Bloomington IN

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High-Throughput Transaction Executions on Graphics Processors

High-Throughput Transaction Executions on Graphics Processors. Bingsheng He (NTU, Singapore) Jeffrey Xu Yu (CUHK). Main Results. GPUTx is the first transaction execution engine on the graphics processor (GPU).

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Parallel Computing in Matlab

Parallel Computing in Matlab. PCT. Parallel Computing Toolbox O ffload work from one MATLAB session (the client) to other MATLAB sessions (the workers). Run as many as eight MATLAB workers (R2010b) on your local machine in addition to your MATLAB client session. . MDCS.

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Parallel Architectures & Performance Analysis

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Guest Lecturer: Alan Christopher

CS 61C: Great Ideas in Computer Architecture The Flynn Taxonomy, Intel SIMD Instructions. Guest Lecturer: Alan Christopher. Neuromorphic Chips.

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A Tale of Two Data-Intensive Paradigms: Applications, Abstractions and Architectures

A Tale of Two Data-Intensive Paradigms: Applications, Abstractions and Architectures S Jha 1 , J Qiu 2 , A Luckow 1 , P Mantha 1 , Geoffrey Fox 2 1 Rutgers http://radical.rutgers.edu 2 Indiana http :// www.infomall.org http:// arxiv.org /abs/1403.1528. Data-intensive Sciences.

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Chapter 7

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CS 213: Parallel Processing Architectures

CS 213: Parallel Processing Architectures. Laxmi Narayan Bhuyan http://www.cs.ucr.edu/~bhuyan Lecture4. Commercial Multiprocessors. Origin2000 System. CC-NUMA Architecture Upto 512 nodes (1024 processors) 195MHz MIPS R10K processor , peak 390MFLOPS or 780 MIPS per proc

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Programming Massively Parallel Graphics Processors

Programming Massively Parallel Graphics Processors. Andreas Moshovos Winter 2009. Goals: Graphics Processors Learn how program GPUs Learn how to get performance out of GPUs Understand GPU architecture and limitations CUDA: Compute Unified Device Architecture/NVidia How:

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Parallel Matlab programming using Distributed Arrays

Parallel Matlab programming using Distributed Arrays. Jeremy Kepner MIT Lincoln Laboratory

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Issues with Economic and Social systems modelling

Issues with Economic and Social systems modelling. Mariam Kiran University of Sheffield. Future Research Directions in Agent Based Modelling June 2010. Talk Agenda. Agent-based modelling for socio-economic systems as compared to the traditional methods. Case study: EURACE model

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Introduction to High Performance Computing

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High Performance Fortran (HPF)

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High Performance Fortran (HPF)

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Parallel Computing with MATLAB

Parallel Computing with MATLAB. Parallel Processing Tool-box. Start up MATLAB in the regular way. This copy of MATLAB that you start with is called the " client " copy; the copies of MATLAB that will be created to assist in the computation are known as " workers ".

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OpenMP Tutorial

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Parallel processing (361-1-3621) lecturer: Dr. Guy Tel- Zur

Parallel processing (361-1-3621) lecturer: Dr. Guy Tel- Zur. Submitted by: Adi Hbursi 066140518 Israel Karity 021537543. UPC. ?? ?? UPC ?. UNIFIED PARALLEL C Extention of ANSI/ISO C 99

256 views • 17 slides