Performance Analysis and Grid Computing: Selected Articles from the Workshop on Performance Analysis and Distributed Computing August 19–23, 2002, Dagstuhl, Germany
Past and current research in computer performance analysis has focused primarily on dedicated parallel machines. However, future applications in the area of high-performance computing will not only use individual parallel systems but a large set of networked resources. This scenario of computational...
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| Weitere Verfasser: | , , , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer US
2004
|
| Ausgabe: | 1st ed. 2004 |
| Schlagworte: | |
| Online-Zugang: | UBY01 Volltext |
| Zusammenfassung: | Past and current research in computer performance analysis has focused primarily on dedicated parallel machines. However, future applications in the area of high-performance computing will not only use individual parallel systems but a large set of networked resources. This scenario of computational and data Grids is attracting a great deal of attention from both computer and computational scientists. In addition to the inherent complexity of parallel machines, the sharing and transparency of the available resources introduces new challenges on performance analysis, techniques, and systems. In order to meet those challenges, a multi-disciplinary approach to the multi-faceted problems of performance is required. New degrees of freedom will come into play with a direct impact on the performance of Grid computing, including wide-area network performance, quality-of-service (QoS), heterogeneity, and middleware systems, to mention only a few |
| Beschreibung: | 1 Online-Ressource (XV, 290 p) |
| ISBN: | 9781461503613 |
| DOI: | 10.1007/978-1-4615-0361-3 |
Internformat
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| 245 | 1 | 0 | |a Performance Analysis and Grid Computing |b Selected Articles from the Workshop on Performance Analysis and Distributed Computing August 19–23, 2002, Dagstuhl, Germany |c edited by Vladimir Getov, Michael Gerndt, Adolfy Hoisie, Allen Malony, Barton Miller |
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| 520 | |a Past and current research in computer performance analysis has focused primarily on dedicated parallel machines. However, future applications in the area of high-performance computing will not only use individual parallel systems but a large set of networked resources. This scenario of computational and data Grids is attracting a great deal of attention from both computer and computational scientists. In addition to the inherent complexity of parallel machines, the sharing and transparency of the available resources introduces new challenges on performance analysis, techniques, and systems. In order to meet those challenges, a multi-disciplinary approach to the multi-faceted problems of performance is required. New degrees of freedom will come into play with a direct impact on the performance of Grid computing, including wide-area network performance, quality-of-service (QoS), heterogeneity, and middleware systems, to mention only a few | ||
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| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a Microprocessors | |
| 650 | 4 | |a Computers | |
| 650 | 4 | |a Computer communication systems | |
| 650 | 4 | |a Software engineering | |
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| discipline | Informatik |
| discipline_str_mv | Informatik |
| doi_str_mv | 10.1007/978-1-4615-0361-3 |
| edition | 1st ed. 2004 |
| format | Electronic eBook |
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| id | DE-604.BV047064694 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:12:23Z |
| indexdate | 2024-07-10T09:01:35Z |
| institution | BVB |
| isbn | 9781461503613 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032471806 |
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| physical | 1 Online-Ressource (XV, 290 p) |
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| publishDate | 2004 |
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| publisher | Springer US |
| record_format | marc |
| spelling | Performance Analysis and Grid Computing Selected Articles from the Workshop on Performance Analysis and Distributed Computing August 19–23, 2002, Dagstuhl, Germany edited by Vladimir Getov, Michael Gerndt, Adolfy Hoisie, Allen Malony, Barton Miller 1st ed. 2004 New York, NY Springer US 2004 1 Online-Ressource (XV, 290 p) txt rdacontent c rdamedia cr rdacarrier Past and current research in computer performance analysis has focused primarily on dedicated parallel machines. However, future applications in the area of high-performance computing will not only use individual parallel systems but a large set of networked resources. This scenario of computational and data Grids is attracting a great deal of attention from both computer and computational scientists. In addition to the inherent complexity of parallel machines, the sharing and transparency of the available resources introduces new challenges on performance analysis, techniques, and systems. In order to meet those challenges, a multi-disciplinary approach to the multi-faceted problems of performance is required. New degrees of freedom will come into play with a direct impact on the performance of Grid computing, including wide-area network performance, quality-of-service (QoS), heterogeneity, and middleware systems, to mention only a few Artificial Intelligence Processor Architectures Theory of Computation Computer Communication Networks Software Engineering/Programming and Operating Systems Artificial intelligence Microprocessors Computers Computer communication systems Software engineering Getov, Vladimir edt Gerndt, Michael edt Hoisie, Adolfy edt Malony, Allen edt Erscheint auch als Druck-Ausgabe 9781402076930 Erscheint auch als Druck-Ausgabe 9781461350385 Erscheint auch als Druck-Ausgabe 9781461503620 https://doi.org/10.1007/978-1-4615-0361-3 Verlag URL des Eerstveröffentlichers Volltext |
| spellingShingle | Performance Analysis and Grid Computing Selected Articles from the Workshop on Performance Analysis and Distributed Computing August 19–23, 2002, Dagstuhl, Germany Artificial Intelligence Processor Architectures Theory of Computation Computer Communication Networks Software Engineering/Programming and Operating Systems Artificial intelligence Microprocessors Computers Computer communication systems Software engineering |
| title | Performance Analysis and Grid Computing Selected Articles from the Workshop on Performance Analysis and Distributed Computing August 19–23, 2002, Dagstuhl, Germany |
| title_auth | Performance Analysis and Grid Computing Selected Articles from the Workshop on Performance Analysis and Distributed Computing August 19–23, 2002, Dagstuhl, Germany |
| title_exact_search | Performance Analysis and Grid Computing Selected Articles from the Workshop on Performance Analysis and Distributed Computing August 19–23, 2002, Dagstuhl, Germany |
| title_exact_search_txtP | Performance Analysis and Grid Computing Selected Articles from the Workshop on Performance Analysis and Distributed Computing August 19–23, 2002, Dagstuhl, Germany |
| title_full | Performance Analysis and Grid Computing Selected Articles from the Workshop on Performance Analysis and Distributed Computing August 19–23, 2002, Dagstuhl, Germany edited by Vladimir Getov, Michael Gerndt, Adolfy Hoisie, Allen Malony, Barton Miller |
| title_fullStr | Performance Analysis and Grid Computing Selected Articles from the Workshop on Performance Analysis and Distributed Computing August 19–23, 2002, Dagstuhl, Germany edited by Vladimir Getov, Michael Gerndt, Adolfy Hoisie, Allen Malony, Barton Miller |
| title_full_unstemmed | Performance Analysis and Grid Computing Selected Articles from the Workshop on Performance Analysis and Distributed Computing August 19–23, 2002, Dagstuhl, Germany edited by Vladimir Getov, Michael Gerndt, Adolfy Hoisie, Allen Malony, Barton Miller |
| title_short | Performance Analysis and Grid Computing |
| title_sort | performance analysis and grid computing selected articles from the workshop on performance analysis and distributed computing august 19 23 2002 dagstuhl germany |
| title_sub | Selected Articles from the Workshop on Performance Analysis and Distributed Computing August 19–23, 2002, Dagstuhl, Germany |
| topic | Artificial Intelligence Processor Architectures Theory of Computation Computer Communication Networks Software Engineering/Programming and Operating Systems Artificial intelligence Microprocessors Computers Computer communication systems Software engineering |
| topic_facet | Artificial Intelligence Processor Architectures Theory of Computation Computer Communication Networks Software Engineering/Programming and Operating Systems Artificial intelligence Microprocessors Computers Computer communication systems Software engineering |
| url | https://doi.org/10.1007/978-1-4615-0361-3 |
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