GPU Solutions to Multi-scale Problems in Science and Engineering: Lecture Notes in Earth System Sciences
Editat de David A. Yuen, Long Wang, Xuebin Chi, Lennart Johnsson, Wei Ge, Yaolin Shien Limba Engleză Paperback – 23 aug 2016
Toate formatele și edițiile | Preț | Express |
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Paperback (1) | 660.49 lei 43-57 zile | |
Springer Berlin, Heidelberg – 23 aug 2016 | 660.49 lei 43-57 zile | |
Hardback (1) | 666.24 lei 43-57 zile | |
Springer Berlin, Heidelberg – 8 ian 2013 | 666.24 lei 43-57 zile |
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Specificații
ISBN-13: 9783662506912
ISBN-10: 3662506912
Pagini: 693
Ilustrații: XIII, 693 p.
Dimensiuni: 155 x 235 mm
Greutate: 0.98 kg
Ediția:Softcover reprint of the original 1st ed. 2013
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Earth System Sciences
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3662506912
Pagini: 693
Ilustrații: XIII, 693 p.
Dimensiuni: 155 x 235 mm
Greutate: 0.98 kg
Ediția:Softcover reprint of the original 1st ed. 2013
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Earth System Sciences
Locul publicării:Berlin, Heidelberg, Germany
Cuprins
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.
Textul de pe ultima copertă
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.
Caracteristici
Shows how GPU are used in many diverse problems in science and engineering gives examples of codes Written in CUDA for diverse problems Shows how algorithms can be implemented on GPU Includes supplementary material: sn.pub/extras