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Parallel Execution of Ordinary Sequential Programs
| Content Provider | Scilit |
|---|---|
| Author | Muraoka, Yoichi Yamana, Hayato |
| Copyright Year | 2020 |
| Description | There are two approaches to implementing parallel processing. The first and obvious approach is to develop completely new programs based on new algorithms that are suitable for parallel processing. This approach seems very attractive because it is guaranteed to result in very good programs in terms of both execution speed and efficiency. However, it is generally very difficult, even for an expert in the field, to write a program for a parallel processing computer. There are several reasons for this: Difficulty in exploiting parallelism: It is not an easy task for a programmer or a numerical analyst to divide a program into a set of tasks that are executable in parallel. Difficulty in utilizing processors efficiently. Book Name: Parallel Processing in Computational Mechanics |
| Related Links | https://content.taylorfrancis.com/books/download?dac=C2006-0-13825-2&isbn=9781003066750&doi=10.1201/9781003066750-5&format=pdf |
| Ending Page | 150 |
| Page Count | 20 |
| Starting Page | 131 |
| DOI | 10.1201/9781003066750-5 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2020-08-26 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Parallel Processing in Computational Mechanics Hardware and Architecturee Execution Parallel Expert Ordinary Write Obvious Processors Good Sequential Efficiently |
| Content Type | Text |
| Resource Type | Chapter |
