David R. Kaeli – författare
Visar alla böcker från författaren David R. Kaeli. Handla med fri frakt och snabb leverans.
10 produkter
Heterogeneous Computing with OpenCL
Av Dana Schaa, Perhaad Mistry m. fl.
E-bok, 2011
722 kr
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Heterogeneous Computing with OpenCL teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs) such as AMD Fusion technology. Designed to work on multiple platforms …
Heterogeneous Computing with OpenCL
Revised OpenCL 1.2 Edition
Av Dana Schaa, Perhaad Mistry m. fl.
E-bok, 2012
722 kr
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Heterogeneous Computing with OpenCL, Second Edition teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs) such as AMD Fusion technology. It is the first textbook …
Heterogeneous Computing with OpenCL
Revised OpenCL 1.2 Edition
Av Benedict Gaster, Lee Howes m. fl.
Häftad, 2012
734 kr
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Heterogeneous Computing with OpenCL, Second Edition teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs) such as AMD Fusion technology. It is the first textbook …
Heterogeneous Computing with OpenCL 2.0
Av David R. Kaeli, Perhaad Mistry m. fl.
Häftad, 2015
762 kr
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Heterogeneous Computing with OpenCL 2.0 teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs). This fully-revised edition includes the latest enhancements in …
Heterogeneous Computing with OpenCL 2.0
Av Dong Ping Zhang, Dana Schaa m. fl.
E-bok, 2015
869 kr
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Heterogeneous Computing with OpenCL 2.0 teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs). This fully-revised edition includes the latest enhancements in …
High Performance Memory Systems
Av David R. Kaeli, Haldun Hadimioglu m. fl.
Inbunden, 2003
567 kr
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The State of Memory Technology Over the past decade there has been rapid growth in the speed of micropro cessors. CPU speeds are approximately doubling every eighteen months, while main memory speed doubles about every ten years. The International Tech nology Roadmap for Semiconductors (ITRS) …
Fault-Tolerant Parallel and Distributed Systems
Av D. R. Avresky, Dimiter R. Avresky m. fl.
Inbunden, 1998
1686 kr
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The most important use of computing in the future will be in the context of the global "digital convergence" where everything becomes digital and every thing is inter-networked. The application will be dominated by storage, search, retrieval, analysis, exchange and updating of information in a …
Fault-Tolerant Parallel and Distributed Systems
Av Dimiter R. Avresky, David R. Kaeli
Häftad, 2012
1688 kr
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The most important use of computing in the future will be in the context of the global "digital convergence" where everything becomes digital and every thing is inter-networked. The application will be dominated by storage, search, retrieval, analysis, exchange and updating of information in a …
Fault-Tolerant Parallel and Distributed Systems
Av David R. Kaeli, Dimiter R. Avresky
E-bok, 2012
2174 kr
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The most important use of computing in the future will be in the context of the global "digital convergence" where everything becomes digital and every thing is inter-networked. The application will be dominated by storage, search, retrieval, analysis, exchange and updating of information in a …
Accelerated Computing with HIP
Av David R Kaeli, Trinayan Baruah m. fl.
E-bok, 2022
269 kr
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The goal of this book is to provide helpful guidance to GPU programmers looking to develop HIP programs for the ROCm platform using GPUs. The reader of this book will learn how to reason through real-world problems and break them down into independent parts so that GPUs can be used to solve them …
