| 书目名称 | Models for Parallel and Distributed Computation | | 副标题 | Theory, Algorithmic | | 编辑 | Ricardo Corrêa,Inês Dutra,Fernando Gomes | | 视频video | | | 丛书名称 | Applied Optimization | | 图书封面 |  | | 描述 | Parallel and distributed computation has been gaining a great lot of attention in the last decades. During this period, the advances attained in computing and communication technologies, and the reduction in the costs of those technolo gies, played a central role in the rapid growth of the interest in the use of parallel and distributed computation in a number of areas of engineering and sciences. Many actual applications have been successfully implemented in various plat forms varying from pure shared-memory to totally distributed models, passing through hybrid approaches such as distributed-shared memory architectures. Parallel and distributed computation differs from dassical sequential compu tation in some of the following major aspects: the number of processing units, independent local dock for each unit, the number of memory units, and the programming model. For representing this diversity, and depending on what level we are looking at the problem, researchers have proposed some models to abstract the main characteristics or parameters (physical components or logical mechanisms) of parallel computers. The problem of establishing a suitable model is to find a reasonable tra | | 出版日期 | Book 2002 | | 关键词 | Scheduling; algorithms; combinatorial optimization; complexity; computer; computer science; logic; logic pr | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4757-3609-0 | | isbn_softcover | 978-1-4419-5219-6 | | isbn_ebook | 978-1-4757-3609-0Series ISSN 1384-6485 | | issn_series | 1384-6485 | | copyright | Springer-Verlag US 2002 |
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发表于 2025-3-21 17:31:45
