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Buchbeschreibung Paperback or Softback. Zustand: New. General Purpose Computation on Graphic Processing Units 0.44. Book. Bestandsnummer des Verkäufers BBS-9783659494291
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Buchbeschreibung Zustand: New. Bestandsnummer des Verkäufers ABLIING23Mar3113020288858
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Buchbeschreibung Zustand: New. Bestandsnummer des Verkäufers I-9783659494291
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Buchbeschreibung Zustand: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book. Bestandsnummer des Verkäufers ria9783659494291_lsuk
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Buchbeschreibung Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783659494291
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Buchbeschreibung PAP. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bestandsnummer des Verkäufers L0-9783659494291
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Buchbeschreibung Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783659494291
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Buchbeschreibung PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bestandsnummer des Verkäufers L0-9783659494291
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Buchbeschreibung Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Khan Fiaz GulI 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. Current. Bestandsnummer des Verkäufers 5159857
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