Large Scale Scientific Computing: Experiments and Programming Paradigms on Grids, Desktop Grids and Private Clouds - Brossura
Sinossi
The aim of this book is to find a solution to make large scientific computing in an easy way. To do that, research on Gauss Jordan algorithm is made and a new parallel programming paradigm is presented. The new parallel version can achieve maximum degree parallelism between operations. Also the Gauss Jordan algorithm as an excellent example is used to evaluate different experimental environments and tools. Experiments with YML, OmniRPC and XtremWeb on Grid and Desktop Grid environments testify YML, which is a workflow based programming lanaguage, can be a good solution for end users to make large scale scientific computing for its series of good features such as higher level interface, component reuse and acceptable overhead. According to analysis made in this book and the common features of Clouds possessed, YML-PC, a reference architecture based on workflow for building scientific Private Clouds is proposed. YML-PC inherits those good features YML possessed and some other key technologies such as “data persistence”, “available time prediction” and “evaluation on heterogeneous computing nodes”. Some evaluations are made on Grids, Desktop Grids and Private Clouds.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
L'autore
Ling Shang received the PhD degree in computer science from university Lille1,France and the PhD degree in hydro-informatics from Hohai university,China. His interests are in the area of large scale scientific computing on Grid and Cloud platforms. Now he is devoted to apply Cloud technologies to the areas of hydro-informatics and SNS based media.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Risultati della ricerca per Large Scale Scientific Computing: Experiments and Programmin...
Immagini fornite dal venditore
Large Scale Scientific Computing
Editore:
LAP LAMBERT Academic Publishing Mrz 2012, 2012
ISBN 10: 3847343343
ISBN 13: 9783847343349
Nuovo
Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The aim of this book is to find a solution to make large scientific computing in an easy way. To do that, research on Gauss Jordan algorithm is made and a new parallel programming paradigm is presented. The new parallel version can achieve maximum degree parallelism between operations. Also the Gauss Jordan algorithm as an excellent example is used to evaluate different experimental environments and tools. Experiments with YML, OmniRPC and XtremWeb on Grid and Desktop Grid environments testify YML, which is a workflow based programming lanaguage, can be a good solution for end users to make large scale scientific computing for its series of good features such as higher level interface, component reuse and acceptable overhead. According to analysis made in this book and the common features of Clouds possessed, YML-PC, a reference architecture based on workflow for building scientific Private Clouds is proposed. YML-PC inherits those good features YML possessed and some other key technologies such as data persistence , available time prediction and evaluation on heterogeneous computing nodes . Some evaluations are made on Grids, Desktop Grids and Private Clouds. 224 pp. Englisch. Codice articolo 9783847343349
Compra nuovo
EUR 79,00
Spedizione EUR 23,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 2 disponibili
Immagini fornite dal venditore
Large Scale Scientific Computing
Editore:
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3847343343
ISBN 13: 9783847343349
Nuovo
Brossura
Da: moluna, Greven, Germania
Valutazione del venditore 5 su 5 stelle
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shang LingLing Shang received the PhD degree in computer science from university Lille1,France and the PhD degree in hydro-informatics from Hohai university,China. His interests are in the area of large scale scientific computing on . Codice articolo 5511404
Compra nuovo
EUR 63,42
Spedizione EUR 48,99
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Large Scale Scientific Computing | Experiments and Programming Paradigms on Grids, Desktop Grids and Private Clouds
Editore:
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3847343343
ISBN 13: 9783847343349
Nuovo
Taschenbuch
Da: preigu, Osnabrück, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. Large Scale Scientific Computing | Experiments and Programming Paradigms on Grids, Desktop Grids and Private Clouds | Ling Shang (u. a.) | Taschenbuch | 224 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783847343349 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Codice articolo 106581890
Compra nuovo
EUR 66,40
Spedizione EUR 70,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 5 disponibili
Immagini fornite dal venditore
Large Scale Scientific Computing
Editore:
LAP LAMBERT Academic Publishing Mär 2012, 2012
ISBN 10: 3847343343
ISBN 13: 9783847343349
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The aim of this book is to find a solution to make large scientific computing in an easy way. To do that, research on Gauss Jordan algorithm is made and a new parallel programming paradigm is presented. The new parallel version can achieve maximum degree parallelism between operations. Also the Gauss Jordan algorithm as an excellent example is used to evaluate different experimental environments and tools. Experiments with YML, OmniRPC and XtremWeb on Grid and Desktop Grid environments testify YML, which is a workflow based programming lanaguage, can be a good solution for end users to make large scale scientific computing for its series of good features such as higher level interface, component reuse and acceptable overhead. According to analysis made in this book and the common features of Clouds possessed, YML-PC, a reference architecture based on workflow for building scientific Private Clouds is proposed. YML-PC inherits those good features YML possessed and some other key technologies such as 'data persistence', 'available time prediction' and 'evaluation on heterogeneous computing nodes'. Some evaluations are made on Grids, Desktop Grids and Private Clouds.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 224 pp. Englisch. Codice articolo 9783847343349
Compra nuovo
EUR 79,00
Spedizione EUR 60,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 1 disponibili
Immagini fornite dal venditore
Large Scale Scientific Computing : Experiments and Programming Paradigms on Grids, Desktop Grids and Private Clouds
Editore:
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3847343343
ISBN 13: 9783847343349
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The aim of this book is to find a solution to make large scientific computing in an easy way. To do that, research on Gauss Jordan algorithm is made and a new parallel programming paradigm is presented. The new parallel version can achieve maximum degree parallelism between operations. Also the Gauss Jordan algorithm as an excellent example is used to evaluate different experimental environments and tools. Experiments with YML, OmniRPC and XtremWeb on Grid and Desktop Grid environments testify YML, which is a workflow based programming lanaguage, can be a good solution for end users to make large scale scientific computing for its series of good features such as higher level interface, component reuse and acceptable overhead. According to analysis made in this book and the common features of Clouds possessed, YML-PC, a reference architecture based on workflow for building scientific Private Clouds is proposed. YML-PC inherits those good features YML possessed and some other key technologies such as data persistence , available time prediction and evaluation on heterogeneous computing nodes . Some evaluations are made on Grids, Desktop Grids and Private Clouds. Codice articolo 9783847343349
Compra nuovo
EUR 79,00
Spedizione EUR 61,76
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 1 disponibili