Models for Parallel and Distributed Computation: Theory, Algorithmic Techniques and Applications
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Boston, MA
Springer US
2002
|
| Series: | Applied Optimization
67 |
| Subjects: | |
| Online Access: | Volltext |
| Item Description: | 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 trade-off among simplicity, power of expression and universality. Then, be able to study and analyze more precisely the behavior of parallel applications |
| Physical Description: | 1 Online-Ressource (XX, 323 p) |
| ISBN: | 9781475736090 9781441952196 |
| ISSN: | 1384-6485 |
| DOI: | 10.1007/978-1-4757-3609-0 |
Staff View
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| 500 | |a 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 trade-off among simplicity, power of expression and universality. Then, be able to study and analyze more precisely the behavior of parallel applications | ||
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Record in the Search Index
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| spelling | Corrêa, Ricardo Verfasser aut Models for Parallel and Distributed Computation Theory, Algorithmic Techniques and Applications edited by Ricardo Corrêa, Inês Dutra, Mario Fiallos, Fernando Gomes Boston, MA Springer US 2002 1 Online-Ressource (XX, 323 p) txt rdacontent c rdamedia cr rdacarrier Applied Optimization 67 1384-6485 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 trade-off among simplicity, power of expression and universality. Then, be able to study and analyze more precisely the behavior of parallel applications Computer science Information theory Computational complexity Algebra / Data processing Combinatorics Computer Science Theory of Computation Discrete Mathematics in Computer Science Symbolic and Algebraic Manipulation Datenverarbeitung Informatik Verteiltes System (DE-588)4238872-7 gnd rswk-swf Parallelverarbeitung (DE-588)4075860-6 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Verteiltes System (DE-588)4238872-7 s 2\p DE-604 Parallelverarbeitung (DE-588)4075860-6 s 3\p DE-604 Dutra, Inês Sonstige oth Fiallos, Mario Sonstige oth Gomes, Fernando Sonstige oth https://doi.org/10.1007/978-1-4757-3609-0 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Corrêa, Ricardo Models for Parallel and Distributed Computation Theory, Algorithmic Techniques and Applications Computer science Information theory Computational complexity Algebra / Data processing Combinatorics Computer Science Theory of Computation Discrete Mathematics in Computer Science Symbolic and Algebraic Manipulation Datenverarbeitung Informatik Verteiltes System (DE-588)4238872-7 gnd Parallelverarbeitung (DE-588)4075860-6 gnd |
| subject_GND | (DE-588)4238872-7 (DE-588)4075860-6 (DE-588)4143413-4 |
| title | Models for Parallel and Distributed Computation Theory, Algorithmic Techniques and Applications |
| title_auth | Models for Parallel and Distributed Computation Theory, Algorithmic Techniques and Applications |
| title_exact_search | Models for Parallel and Distributed Computation Theory, Algorithmic Techniques and Applications |
| title_full | Models for Parallel and Distributed Computation Theory, Algorithmic Techniques and Applications edited by Ricardo Corrêa, Inês Dutra, Mario Fiallos, Fernando Gomes |
| title_fullStr | Models for Parallel and Distributed Computation Theory, Algorithmic Techniques and Applications edited by Ricardo Corrêa, Inês Dutra, Mario Fiallos, Fernando Gomes |
| title_full_unstemmed | Models for Parallel and Distributed Computation Theory, Algorithmic Techniques and Applications edited by Ricardo Corrêa, Inês Dutra, Mario Fiallos, Fernando Gomes |
| title_short | Models for Parallel and Distributed Computation |
| title_sort | models for parallel and distributed computation theory algorithmic techniques and applications |
| title_sub | Theory, Algorithmic Techniques and Applications |
| topic | Computer science Information theory Computational complexity Algebra / Data processing Combinatorics Computer Science Theory of Computation Discrete Mathematics in Computer Science Symbolic and Algebraic Manipulation Datenverarbeitung Informatik Verteiltes System (DE-588)4238872-7 gnd Parallelverarbeitung (DE-588)4075860-6 gnd |
| topic_facet | Computer science Information theory Computational complexity Algebra / Data processing Combinatorics Computer Science Theory of Computation Discrete Mathematics in Computer Science Symbolic and Algebraic Manipulation Datenverarbeitung Informatik Verteiltes System Parallelverarbeitung Aufsatzsammlung |
| url | https://doi.org/10.1007/978-1-4757-3609-0 |
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