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GPU Solutions to Multi-scale Problems in Science and Engineering Softcover reprint of the original 1st ed. 2013 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 693 pages, height x width: 235x155 mm, XIII, 693 p., 1 Paperback / softback
  • Sērija : Lecture Notes in Earth System Sciences
  • Izdošanas datums: 23-Aug-2016
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3662506912
  • ISBN-13: 9783662506912
  • Mīkstie vāki
  • Cena: 91,53 €*
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  • Standarta cena: 107,69 €
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  • Formāts: Paperback / softback, 693 pages, height x width: 235x155 mm, XIII, 693 p., 1 Paperback / softback
  • Sērija : Lecture Notes in Earth System Sciences
  • Izdošanas datums: 23-Aug-2016
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3662506912
  • ISBN-13: 9783662506912
Covering a broad range of applications in graphics processing unit (GPU) computing, this book demonstrates the importance of this new technology and shows how to implement codes in real-world situations. The volume includes code examples written in CUDA.

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.

Covering a broad range of applications in graphics processing unit (GPU) computing, this book demonstrates the importance of this new technology and shows how to implement codes in real-world situations. The volume includes code examples written in CUDA.

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.