Parallel computing on any desktop-Reference-Cited by-同舟云学术

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Parallel computing on any desktop

Published:2007-09 Issue:9 Volume:50 Page:74-78
ISSN:0001-0782
Container-title:Communications of the ACM
language:en
Short-container-title:Commun. ACM

Author:

Marowka Ami¹

Affiliation:

1. Shenkar College of Engineering and Design, Ramat-Gan, Israel

Abstract

Parallelization lets applications exploit the high throughput of new multicore processors, and the OpenMP parallel programming model helps developers create multithreaded applications.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Link

https://dl.acm.org/doi/pdf/10.1145/1284621.1284622

Reference9 articles.

1. Massively parallel computers: why not parallel computers for the masses?

2. Chip makers turn to multicore processors

3. EXTENDING OPENMP FOR TASK PARALLELISM

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1. Language-based vectorization and parallelization using intrinsics, OpenMP, TBB and Cilk Plus;The Journal of Supercomputing;2018-01-11

2. Real-time semi-partitioned scheduling of fork-join tasks using work-stealing;EURASIP Journal on Embedded Systems;2017-09-13

3. Semiautomatic Acceleration of Sparse Matrix-Vector Product Using OpenACC;Parallel Processing and Applied Mathematics;2016

4. Semi-Partitioned Scheduling of Fork-Join Tasks Using Work-Stealing;2015 IEEE 13th International Conference on Embedded and Ubiquitous Computing;2015-10

5. Introduction;Networks-On-Chip;2015

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