'Block distribution' diaporamas de présentation

Parallelism

Parallelism. Why need Parallelism?. Faster, of course Finish the work earlier Same work in less time Do more work More work in the same time. How to Parallelize an Application?. Break down the computational part into small pieces Assign the small jobs to the parallel running processes

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Chapel : Domain Maps (Layouts and Distributions)

Chapel : Domain Maps (Layouts and Distributions). Review : Data Parallelism. Domains are first-class index sets Specify the size and shape of arrays Support iteration, array operations, etc. InnerD. A. D. B. Data Parallelism: Implementation Qs. Q1: How are arrays laid out in memory?

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High Performance Fortran (HPF)

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Lecture 29: Parallel Programming Overview

Lecture 29: Parallel Programming Overview. Parallelization in Everyday Life. Example 0 : organizations consisting of many people each person acts sequentially all people are acting in parallel Example 1: building a house (functional decomposition)

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Peer-to-Peer (P2P) File Systems

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Block Size Optimization in Carry-Skip Adder

Block Size Optimization in Carry-Skip Adder. By Lee Hathcock. Carry-Skip Adders. Carry-Skip a quick and dirty method to increase speed over ripple-carry Small hardware / power cost Comparatively large speed increase My approach Use a program written in C++ to generate optimal block sizes.

882 views • 13 slides