Large Scale Scientific Computing: Experiments and Programming Paradigms on Grids, Desktop Grids and Private Clouds - Couverture souple

Shang, Ling; Petiton, Serge

 
9783847343349: Large Scale Scientific Computing: Experiments and Programming Paradigms on Grids, Desktop Grids and Private Clouds
Couverture souple
ISBN 10 : 3847343343 ISBN 13 : 9783847343349
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Biographie de l'auteur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3847343343
ISBN 13 
9783847343349
Reliure
Broché
Nombre de pages
224
Coordonnées du fabricant
non disponible
Personne responsable
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