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
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.
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.
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 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.
Inhaltsverzeichnis
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.
Klappentext
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.
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
