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

Shang, Ling; Petiton, Serge

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

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Reseña del editor

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.

Biografía del autor

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2012
Idioma
Inglés
ISBN 10 
3847343343
ISBN 13 
9783847343349
Encuadernación
Tapa blanda
Número de páginas
224
Contacto del fabricante
no disponible
Persona responsable
no disponible