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Author:
Publisher:
ISBN:
Category : Computer networks
Languages : en
Pages : 56
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Book Description
Author:
Publisher:
ISBN:
Category : Computer networks
Languages : en
Pages : 56
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Book Description
Author: Office of Technology Assessment
Publisher: DIANE Publishing
ISBN: 1428922253
Category :
Languages : en
Pages : 46
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Book Description
Author: Georg Hager
Publisher: CRC Press
ISBN: 1439811938
Category : Computers
Languages : en
Pages : 350
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Book Description
Written by high performance computing (HPC) experts, Introduction to High Performance Computing for Scientists and Engineers provides a solid introduction to current mainstream computer architecture, dominant parallel programming models, and useful optimization strategies for scientific HPC. From working in a scientific computing center, the author
Author:
Publisher:
ISBN:
Category : Computer networks
Languages : en
Pages : 36
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Book Description
Author:
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ISBN:
Category : Computer networks
Languages : en
Pages : 98
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Book Description
Author:
Publisher:
ISBN:
Category : Computer networks
Languages : en
Pages : 36
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Author: Federal Coordinating Council for Science, Engineering, and Technology. Committee on Computer Research and Applications
Publisher:
ISBN:
Category : Computer networks
Languages : en
Pages : 64
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Book Description
Author: United States. Congress. Senate. Committee on Commerce, Science, and Transportation. Subcommittee on Science, Technology, and Space
Publisher:
ISBN:
Category : Computer networks
Languages : en
Pages : 152
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Author: United States Congress Office of Techn
Publisher: Palala Press
ISBN: 9781341904820
Category :
Languages : en
Pages : 192
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Book Description
This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Author: Dhabaleswar K. Panda
Publisher: MIT Press
ISBN: 0262369427
Category : Computers
Languages : en
Pages : 275
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Book Description
An in-depth overview of an emerging field that brings together high-performance computing, big data processing, and deep lLearning. Over the last decade, the exponential explosion of data known as big data has changed the way we understand and harness the power of data. The emerging field of high-performance big data computing, which brings together high-performance computing (HPC), big data processing, and deep learning, aims to meet the challenges posed by large-scale data processing. This book offers an in-depth overview of high-performance big data computing and the associated technical issues, approaches, and solutions. The book covers basic concepts and necessary background knowledge, including data processing frameworks, storage systems, and hardware capabilities; offers a detailed discussion of technical issues in accelerating big data computing in terms of computation, communication, memory and storage, codesign, workload characterization and benchmarking, and system deployment and management; and surveys benchmarks and workloads for evaluating big data middleware systems. It presents a detailed discussion of big data computing systems and applications with high-performance networking, computing, and storage technologies, including state-of-the-art designs for data processing and storage systems. Finally, the book considers some advanced research topics in high-performance big data computing, including designing high-performance deep learning over big data (DLoBD) stacks and HPC cloud technologies.
