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Synopsis
Computational Science has emerged as a third pillar of science along with theory and experiment, where the parallelization for scientificc computing is promised by different shared and distributed memory architectures such as, super-computer systems, grid and cluster based systems, multi-core and multiprocessor systems etc. In the recent years the use of GPUs (Graphic Processing Units) for General purpose computing commonly known as GPGPU made it an exciting addition to high performance computing systems (HPC) with respect to price and performance ratio. Current GPUs consist of several hundred computing cores arranged in streaming multi-processors so the degree of parallelism is promising. Moreover with the development of new and easy to use interfacing tools and programming languages such as OpenCL and CUDA made the GPUs suitable for different computation demanding applications such as the one I have discussed in this book that is micro-magnetic simulations. When we talk about GPGPU the first question that most frequently arises is that why GPU is so faster than CPU.In this book I tried to answer this fundamental question with the help of real world example and the results.
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About the Author
I am Dr. Fiaz Gul Khan, born on 22-11-1982, in a beautiful valley Abbottabad of KPK Pakistan. I have done my PhD in the field of parallel and distributed computing from Politecnico di Torino Italy on March, 2013. Currently I am serving as an Assistant Professor at COMSATS Institute of Information Technology Abbottabad Pakistan.
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- PublisherLAP LAMBERT Academic Publishing
- Publication date2013
- ISBN 10 3659494291
- ISBN 13 9783659494291
- BindingPaperback
- LanguageEnglish
- Number of pages128
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General Purpose Computation on Graphic Processing Units: With OpenCL
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Computational Science has emerged as a third pillar of science along with theory and experiment, where the parallelization for scientificc computing is promised by different shared and distributed memory architectures such as, super-computer systems, grid and cluster based systems, multi-core and multiprocessor systems etc. In the recent years the use of GPUs (Graphic Processing Units) for General purpose computing commonly known as GPGPU made it an exciting addition to high performance computing systems (HPC) with respect to price and performance ratio. Current GPUs consist of several hundred computing cores arranged in streaming multi-processors so the degree of parallelism is promising. Moreover with the development of new and easy to use interfacing tools and programming languages such as OpenCL and CUDA made the GPUs suitable for different computation demanding applications such as the one I have discussed in this book that is micro-magnetic simulations. When we talk about GPGPU the first question that most frequently arises is that why GPU is so faster than CPU.In this book I tried to answer this fundamental question with the help of real world example and the results. 128 pp. Englisch. Seller Inventory # 9783659494291
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General Purpose Computation on Graphic Processing Units
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General Purpose Computation on Graphic Processing Units : With OpenCL
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Computational Science has emerged as a third pillar of science along with theory and experiment, where the parallelization for scientificc computing is promised by different shared and distributed memory architectures such as, super-computer systems, grid and cluster based systems, multi-core and multiprocessor systems etc. In the recent years the use of GPUs (Graphic Processing Units) for General purpose computing commonly known as GPGPU made it an exciting addition to high performance computing systems (HPC) with respect to price and performance ratio. Current GPUs consist of several hundred computing cores arranged in streaming multi-processors so the degree of parallelism is promising. Moreover with the development of new and easy to use interfacing tools and programming languages such as OpenCL and CUDA made the GPUs suitable for different computation demanding applications such as the one I have discussed in this book that is micro-magnetic simulations. When we talk about GPGPU the first question that most frequently arises is that why GPU is so faster than CPU.In this book I tried to answer this fundamental question with the help of real world example and the results. Seller Inventory # 9783659494291
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General Purpose Computation on Graphic Processing Units
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