'Prefix sum' presentation slideshows

1.3k views • 129 slides

CS 193G

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On the R ange M aximum-Sum S egment Q uery Problem

On the R ange M aximum-Sum S egment Q uery Problem. Kuan-Yu Chen and Kun-Mao Chao Department of Computer Science and Information Engineering, National Taiwan University, Taiwan. The Maximum-Sum Segment. Also called the maximum-sum interval or the maximum-scoring region

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GKLEE : Concolic Verification and Test Generation for GPUs

GKLEE : Concolic Verification and Test Generation for GPUs. Guodong Li Fujitsu Labs of America Peng Li, Geof Sawaya , and Ganesh Gopalakrishnan School of Computing, University of Utah Indradeep Ghosh and Sreeranga P. Rajan Fujitsu Labs of America Work associated with

502 views • 33 slides

On the R ange M aximum-Sum S egment Q uery Problem

On the R ange M aximum-Sum S egment Q uery Problem. Kuan-Yu Chen and Kun-Mao Chao Department of Computer Science and Information Engineering, National Taiwan University, Taiwan. The Maximum-Sum Segment. Also called the maximum-sum interval or the maximum-scoring region

337 views • 33 slides

CSE332: Data Abstractions Lecture 20 : Parallel Prefix, Pack, and Sorting

539 views • 29 slides

CSE332: Data Abstractions Lecture 20 : Parallel Prefix, Pack, and Sorting

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Prefiltered Single Scattering

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CSE332: Data Abstractions Lecture 20 : Parallel Prefix and Parallel Sorting

CSE332: Data Abstractions Lecture 20 : Parallel Prefix and Parallel Sorting. Dan Grossman Spring 2010. What next?. Done: Simple ways to use parallelism for counting, summing, finding Even though in practice getting speed-up may not be simple

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Original Work by: Dan Grossman Converted to C++/OMP by: Bob Chesebrough Last Updated: Jan 2012

A Sophomoric Introduction to Shared-Memory Parallelism and Concurrency Lecture 3 Parallel Prefix, Pack, and Sorting. Original Work by: Dan Grossman Converted to C++/OMP by: Bob Chesebrough Last Updated: Jan 2012

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List Ranking and Parallel Prefix

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CS 193G

CS 193G. Lecture 5: Parallel Patterns I. Common Parallel Computing Pattern: Data Blocking. Partition data to operate in well-sized blocks Small enough to be staged in shared memory Assign each data partition to a thread block No different from cache blocking!

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Definitions

Definitions. A Synchronous application is one where all processes must reach certain points before execution continues. Local synchronization is a requirement that a subset of processes (usually neighbors) reach a synchronous point before execution continues.

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An overview of lecture 3

An overview of lecture 3. A simple parallel algorithm for computing parallel prefix. A parallel merging algorithm. Definition of prefix computation. We are given an ordered set A of n elements and a binary associative operator . We have to compute the ordered set.

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OpenMP

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Parallel Prefix Sums and Scans

Parallel Prefix Sums and Scans. Martin Burtscher Department of Computer Science. Exclusive Prefix Sum. Given a sequence of values (integer or real) Compute the sequence whose values are the sum of all previous values in the original sequence

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Optimal Planar Orthogonal Skyline Counting Queries

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Rohit Nigam 200702036

Optimization of Linked List Prefix Computations on Multithreaded GPUs Using CUDA Zheng Wei and Joseph JaJa. Rohit Nigam 200702036. About the Problem. Solution Approach. GPU. GPU. GPU. C PU. GPU. Problems Faced.

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??????????? -- C ????? due date: 2010/12/21

??????????? -- C ????? due date: 2010/12/21. 2010/12/9. ???? 1. 1. PREFIX SUM ?? : ????????? sum[100] ? FOR LOOP ?? 1 ? 100 ? PREFIX SUM, ?? sum[100] ???????? ?? : ?? prefix sum: ?? sum[100] ???? for(i=0;i<100;i++){ sum[i] = ???; } FOR ( 1 to 100 )

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