CUDA Fortran for Scientists and Engineers: Best Practices for Efficient CUDA Fortran Programming

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9780124169708: CUDA Fortran for Scientists and Engineers: Best Practices for Efficient CUDA Fortran Programming

CUDA Fortran for Scientists and Engineers shows how high-performance application developers can leverage the power of GPUs using Fortran, the familiar language of scientific computing and supercomputer performance benchmarking. The authors presume no prior parallel computing experience, and cover the basics along with best practices for efficient GPU computing using CUDA Fortran. To help you add CUDA Fortran to existing Fortran codes, the book explains how to understand the target GPU architecture, identify computationally intensive parts of the code, and modify the code to manage the data and parallelism and optimize performance. All of this is done in Fortran, without having to rewrite in another language. Each concept is illustrated with actual examples so you can immediately evaluate the performance of your code in comparison. You can leverage the power of GPU computing with PGI's CUDA Fortran compiler. You can gain insights from members of the CUDA Fortran language development team. It includes multi-GPU programming in CUDA Fortran, covering both peer-to-peer and message passing interface (MPI) approaches. It includes full source code for all the examples and several case studies. You can download source code and slides from the book's companion website.

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Ruetsch, Gregory; Fatica, Massimiliano
Editore: ELSEVIER SCIENCE TECHNOLOGY, United States (2013)
ISBN 10: 0124169708 ISBN 13: 9780124169708
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Descrizione libro ELSEVIER SCIENCE TECHNOLOGY, United States, 2013. Paperback. Condizione libro: New. 234 x 190 mm. Language: English . Brand New Book. CUDA Fortran for Scientists and Engineers shows how high-performance application developers can leverage the power of GPUs using Fortran, the familiar language of scientific computing and supercomputer performance benchmarking. The authors presume no prior parallel computing experience, and cover the basics along with best practices for efficient GPU computing using CUDA Fortran. To help you add CUDA Fortran to existing Fortran codes, the book explains how to understand the target GPU architecture, identify computationally intensive parts of the code, and modify the code to manage the data and parallelism and optimize performance. All of this is done in Fortran, without having to rewrite in another language. Each concept is illustrated with actual examples so you can immediately evaluate the performance of your code in comparison. You can leverage the power of GPU computing with PGI s CUDA Fortran compiler. You can gain insights from members of the CUDA Fortran language development team. It includes multi-GPU programming in CUDA Fortran, covering both peer-to-peer and message passing interface (MPI) approaches. It includes full source code for all the examples and several case studies. You can download source code and slides from the book s companion website. Codice libro della libreria AAZ9780124169708

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Ruetsch, Gregory; Fatica, Massimiliano
Editore: Elsevier Science & Technology 2013-10-24, San Francisco (2013)
ISBN 10: 0124169708 ISBN 13: 9780124169708
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Descrizione libro Elsevier Science & Technology 2013-10-24, San Francisco, 2013. paperback. Condizione libro: New. Codice libro della libreria 9780124169708

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Ruetsch, Gregory; Fatica, Massimiliano
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Descrizione libro Elsevier Science & Technology. Paperback. Condizione libro: new. BRAND NEW, CUDA Fortran for Scientists and Engineers: Best Practices for Efficient CUDA Fortran Programming, Massimiliano Fatica, Gregory Ruetsch, CUDA Fortran for Scientists and Engineers shows how high-performance application developers can leverage the power of GPUs using Fortran, the familiar language of scientific computing and supercomputer performance benchmarking. The authors presume no prior parallel computing experience, and cover the basics along with best practices for efficient GPU computing using CUDA Fortran. To help you add CUDA Fortran to existing Fortran codes, the book explains how to understand the target GPU architecture, identify computationally intensive parts of the code, and modify the code to manage the data and parallelism and optimize performance. All of this is done in Fortran, without having to rewrite in another language. Each concept is illustrated with actual examples so you can immediately evaluate the performance of your code in comparison. You can leverage the power of GPU computing with PGI's CUDA Fortran compiler. You can gain insights from members of the CUDA Fortran language development team. It includes multi-GPU programming in CUDA Fortran, covering both peer-to-peer and message passing interface (MPI) approaches. It includes full source code for all the examples and several case studies. You can download source code and slides from the book's companion website. Codice libro della libreria B9780124169708

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4.

Ruetsch, Gregory; Fatica, Massimiliano
Editore: ELSEVIER SCIENCE TECHNOLOGY, United States (2013)
ISBN 10: 0124169708 ISBN 13: 9780124169708
Nuovi Paperback Quantità: 1
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The Book Depository US
(London, Regno Unito)
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Descrizione libro ELSEVIER SCIENCE TECHNOLOGY, United States, 2013. Paperback. Condizione libro: New. 234 x 190 mm. Language: English . Brand New Book. CUDA Fortran for Scientists and Engineers shows how high-performance application developers can leverage the power of GPUs using Fortran, the familiar language of scientific computing and supercomputer performance benchmarking. The authors presume no prior parallel computing experience, and cover the basics along with best practices for efficient GPU computing using CUDA Fortran. To help you add CUDA Fortran to existing Fortran codes, the book explains how to understand the target GPU architecture, identify computationally intensive parts of the code, and modify the code to manage the data and parallelism and optimize performance. All of this is done in Fortran, without having to rewrite in another language. Each concept is illustrated with actual examples so you can immediately evaluate the performance of your code in comparison. You can leverage the power of GPU computing with PGI s CUDA Fortran compiler. You can gain insights from members of the CUDA Fortran language development team. It includes multi-GPU programming in CUDA Fortran, covering both peer-to-peer and message passing interface (MPI) approaches. It includes full source code for all the examples and several case studies. You can download source code and slides from the book s companion website. Codice libro della libreria AAZ9780124169708

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Ruetsch, Gregory; Fatica, Massimiliano
Editore: Elsevier Science & Technology (2013)
ISBN 10: 0124169708 ISBN 13: 9780124169708
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Descrizione libro Elsevier Science & Technology, 2013. Condizione libro: New. Shows how high-performance application developers can leverage the power of GPUs using Fortran, the familiar language of scientific computing and supercomputer performance benchmarking. This book explains how to understand the target GPU architecture, identify computationally intensive parts of the code, and modify the code to manage the data. Num Pages: 338 pages, black & white illustrations, black & white tables, figures. BIC Classification: UM; UYF. Category: (P) Professional & Vocational. Dimension: 235 x 191 x 17. Weight in Grams: 624. . 2013. 1st Edition. Paperback. . . . . . Codice libro della libreria V9780124169708

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Descrizione libro Paperback. Condizione libro: New. Not Signed; CUDA Fortran for Scientists and Engineers shows how high-performance application developers can leverage the power of GPUs using Fortran, the familiar language of scientific computing and supercomputer performance benchmarking. The authors presume no prior parallel computing experience, and cover th. book. Codice libro della libreria ria9780124169708_rkm

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Editore: Morgan Kaufmann Publishers Inc. (2013)
ISBN 10: 0124169708 ISBN 13: 9780124169708
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Descrizione libro Morgan Kaufmann Publishers Inc., 2013. Paperback. Condizione libro: New. Brand New Book. Shipping: Once your order has been confirmed and payment received, your order will then be processed. The book will be located by our staff, packaged and despatched to you as quickly as possible. From time to time, items get mislaid en route. If your item fails to arrive, please contact us first. We will endeavour to trace the item for you and where necessary, replace or refund the item. Please do not leave negative feedback without contacting us first. All orders will be dispatched within two working days. If you have any quesions please contact us. Codice libro della libreria V9780124169708

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Descrizione libro Elsevier Science & Technology. Condizione libro: New. Shows how high-performance application developers can leverage the power of GPUs using Fortran, the familiar language of scientific computing and supercomputer performance benchmarking. This book explains how to understand the target GPU architecture, identify computationally intensive parts of the code, and modify the code to manage the data. Num Pages: 338 pages, black & white illustrations, black & white tables, figures. BIC Classification: UM; UYF. Category: (P) Professional & Vocational. Dimension: 235 x 191 x 17. Weight in Grams: 624. . 2013. 1st Edition. Paperback. . . . . Books ship from the US and Ireland. Codice libro della libreria V9780124169708

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Editore: Morgan Kaufmann Publishers In 2013-10-28 (2013)
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Descrizione libro Morgan Kaufmann Publishers In 2013-10-28, 2013. Condizione libro: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely. Codice libro della libreria NU-LBR-01253506

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Ruetsch, Gregory; Fatica, Massimiliano
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ISBN 10: 0124169708 ISBN 13: 9780124169708
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Descrizione libro Morgan Kaufmann Publishers Inc., 2013. Condizione libro: New. Bookseller Inventory # ST0124169708. Codice libro della libreria ST0124169708

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