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Parallel Computing (2007)
| Venue: | Typescript. University of Oslo |
| Citations: | 1 - 1 self |
BibTeX
@INPROCEEDINGS{Cai07parallelcomputing,
author = {X. Cai and E. Acklam and H. P. Langtangen and A. Tveito},
title = {Parallel Computing},
booktitle = {Typescript. University of Oslo},
year = {2007}
}
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Abstract
Abstract. Large-scale parallel computations are more common than ever, due to the increasing availability of multi-processor systems. However, writing parallel software is often a complicated and error-prone task. To relieve Diffpack users of the tedious and low-level technical details of parallel programming, we have designed a set of new software modules, tools, and programming rules, which will be the topic of the present chapter. 1 Introduction to Parallel Computing Parallel computing, also known as concurrent computing, refers to a group of independent processors working collaboratively to solve a large computational problem. This is motivated by the need to reduce the execution time and to utilize larger memory/storage resources. The essence of parallel
Keyphrases
parallel computing parallel computing parallel computing large-scale parallel computation error-prone task multi-processor system new software module parallel software present chapter diffpack user execution time concurrent computing large computational problem parallel programming independent processor programming rule memory storage resource low-level technical detail
