'Parallel computer' diaporamas de présentation

Parallel Computing Department Of Computer Engineering Ferdowsi University

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Timestepping and Parallel Computing in Highly Dynamic N-body Systems

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Final Review

Final Review. Dr. Bernard Chen Ph.D. University of Central Arkansas Fall 2010. Overcome Data Hazards with Dynamic Scheduling. Key idea: Allow instructions behind stall to proceed DIV F0 <- F2/F4 ADD F10<- F0 +F8 SUB F12<- F8-F14. Overcome Data Hazards with Dynamic Scheduling.

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Chapter 7

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Evolution of Parallel Programming in HEP

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Programmability Issues

Programmability Issues. Module 4. Points to be covered. Types and levels of parallelism Operating systems for parallel processing, Models of parallel operating systems-Master-slave configuration, Separate supervisor configuration, Floating supervisor control

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Introduction to Parallel Computing

Introduction to Parallel Computing. Multiprocessor Architectures. Message-Passing Architectures Separate address space for each processor. Processors communicate via message passing. Shared-Memory Architectures Single address space shared by all processors.

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Parallel Algorithms

Parallel Algorithms. Sung Yong Shin TC Lab CS Dept. KAIST. Contents. 1. Background 2. Parallel Computers 3. PRAM 4. Parallel Algorithms. 1. Background. Von Neumann Machines sequential executing one instruction at a time

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COE 502 / CSE 661 Parallel and Vector Architectures

COE 502 / CSE 661 Parallel and Vector Architectures. Prof. Muhamed Mudawar Computer Engineering Department King Fahd University of Petroleum and Minerals. What will you get out of CSE 661?. Understanding modern parallel computers Technology forces Fundamental architectural issues

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Document Classification

Document Classification. Syamsul Rizal 20136089. Introduction. Texts Images Music. Introduction. Given a document and a set of labels Find the documents most likely to contain relevant information. Motivation. Reads a dictionary of keywords Locates a set of text documents

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CMSC 611: Advanced Computer Architecture

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GWAS and R

GWAS and R. Nathan Tintle, Dordt College Jason Westra, Dordt College and Trinity Christian HS. History of group. 2005-2011. Michigan (Hope College/ Univ of Michigan) Statistical genetics methods research Undergraduate research assistants (summer and academic year)

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Paul Scherrer Institut

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Potential for parallel computers/parallel programming

Potential for parallel computers/parallel programming. Before we embark on using a parallel computer, we need to establish whether we can obtain increased execution speed with an application and what the constraints are.

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MA471 Introduction To Scientific Computing

MA471 Introduction To Scientific Computing. Fall 2003 Prof. Tim Warburton timwar@math.unm.edu. Class and Lab Schedule. Class: Room 221, Miller Hall Monday , Wednesday 3:00pm to 3:50pm ESCP 110 Monday, Wednesday 4:00pm to 5:15pm Office hours: By appointment -- OR --

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CUDA GPU Computing

CUDA GPU Computing. Advisor ? Cho-Chin Lin Student ? Chien-Chen Lai. Outline. Introduction and Motivation. What is driving the many-cores?. Control. ALU. ALU. ALU. ALU. DRAM. Cache. DRAM. Design philosophies are different.

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Outline

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Computer Science 320

Computer Science 320. A First Program in Parallel Java. A Simple Program. Test several numbers for primes First develop a sequential version Then develop a parallel version Compare the running times. A Test for Primality. public static boolean isPrime (long x){

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Parallel Matlab: RTExpress on 64-bit SGI Altix with SCSL and MPT

Parallel Matlab: RTExpress on 64-bit SGI Altix with SCSL and MPT. Cosmo Castellano castellano@sensors.com Integrated Sensors, Inc 502 Court Street Suite 210 Utica, NY 13502 (315) 798-1377 www.sensors.com. Matlab FFT Benchmark Test on Shared Memory SGI.

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