GPU Solutions to Multi-scale Problems in Science and Engineering
Author:   David A. Yuen ,  Long Wang ,  Xuebin Chi ,  Lennart Johnsson
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2012
ISBN:  

9783642164040


Pages:   693
Publication Date:   08 January 2013
Format:   Hardback
Availability:   Awaiting stock   Availability explained
The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you.

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GPU Solutions to Multi-scale Problems in Science and Engineering


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Overview

This book covers the new topic of GPU computing with many applications involved, taken from diverse fields such as networking, seismology, fluid mechanics, nano-materials, data-mining , earthquakes ,mantle convection, visualization. It will show the public why GPU computing is important and easy to use. It will offer a reason why GPU computing is useful and how to implement codes in an everyday situation.

Full Product Details

Author:   David A. Yuen ,  Long Wang ,  Xuebin Chi ,  Lennart Johnsson
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2012
Dimensions:   Width: 15.50cm , Height: 4.30cm , Length: 23.50cm
Weight:   1.220kg
ISBN:  

9783642164040


ISBN 10:   3642164048
Pages:   693
Publication Date:   08 January 2013
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Awaiting stock   Availability explained
The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you.

Table of Contents

Initial-value problems associated with viscoelasticity in the geosciences.- The geophysical phenomenon of Glacial Isostatic Adjustment.- Initial Value Approach with the MOL.- Elastic and Viscoelastic Responses.- Current Numerical Methods for integrating VIP.- GPU Hardware aspects.- GPU Software aspects.- Philosophy of GPU Implementation of the MOL in VIP problems.- Code conversion versus Code implementation using CUDA or Open CL.- Examples of Postglacial Rebound.- Future Perspectives of VIP on GPU.

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