| Description |
1 online resource : text file, PDF |
| Series |
Chapman & Hall/CRC big data series ; 4 |
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Chapman & Hall/CRC big data series ; 4.
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| Contents |
Cover -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgments -- Editor -- Contributors -- Section 1: Big Data Architectures -- Chapter 1: Dataflow Model for Cloud Computing Frameworks in Big Data -- Chapter 2: Design of a Processor Core Customized for Stencil Computation -- Chapter 3: Electromigration Alleviation Techniques for 3D Integrated Circuits -- Chapter 4: A 3D Hybrid Cache Design for CMP Architecture for Data-Intensive Applications -- Section 2: Emerging Big Data Applications |
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Chapter 5: Matrix Factorization for Drugâ#x80;#x93;Target Interaction PredictionChapter 6: Overview of Neural Network Accelerators -- Chapter 7: Acceleration for Recommendation Algorithms in Data Mining -- Chapter 8: Deep Learning Accelerators -- Chapter 9: Recent Advances for Neural Networks Accelerators and Optimizations -- Chapter 10: Accelerators for Clustering Applications in Machine Learning -- Chapter 11: Accelerators for Classification Algorithms in Machine Learning -- Chapter 12: Accelerators for Big Data Genome Sequencing -- Index -- A -- B -- C |
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D E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- X -- Y |
| Summary |
"High-Performance Computing for Big Data: Methodologies and Applications explores emerging high-performance architectures for data-intensive applications, novel efficient analytical strategies to boost data processing, and cutting-edge applications in diverse fields, such as machine learning, life science, neural networks, and neuromorphic engineering. The book is organized into two main sections. The first section covers Big Data architectures, including cloud computing systems, and heterogeneous accelerators. It also covers emerging 3D IC design principles for memory architectures and devices. The second section of the book illustrates emerging and practical applications of Big Data across several domains, including bioinformatics, deep learning, and neuromorphic engineering. FeaturesCovers a wide range of Big Data architectures, including distributed systems like Hadoop/SparkIncludes accelerator-based approaches for big data applications such as GPU-based acceleration techniques, and hardware acceleration such as FPGA/CGRA/ASICsPresents emerging memory architectures and devices such as NVM, STT- RAM, 3D IC design principlesDescribes advanced algorithms for different big data application domainsIllustrates novel analytics techniques for Big Data applications, scheduling, mapping, and partitioning methodologiesFeaturing contributions from leading experts, this book presents state-of-the-art research on the methodologies and applications of high-performance computing for big data applications. About the EditorDr. Chao Wang is an Associate Professor in the School of Computer Science at the University of Science and Technology of China. He is the Associate Editor of ACM Transactions on Design Automations for Electronics Systems (TODAES), Applied Soft Computing, Microprocessors and Microsystems, IET Computers & Digital Techniques, and International Journal of Electronics. Dr. Chao Wang was the recipient of Youth Innovation Promotion Association, CAS, ACM China Rising Star Honorable Mention (2016), and best IP nomination of DATE 2015. He is now on the CCF Technical Committee on Computer Architecture, CCF Task Force on Formal Methods. He is a Senior Member of IEEE, Senior Member of CCF, and a Senior Member of ACM."--Provided by publisher |
| Notes |
"A Chapman & Hall book." |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Online resource; title from PDF title page (EBSCO, viewed October 24, 2017) |
| Subject |
High performance computing.
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Data mining.
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Big data.
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Artificial intelligence.
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Data Mining
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Artificial Intelligence
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artificial intelligence.
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COMPUTERS -- Computer Literacy.
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COMPUTERS -- Computer Science.
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COMPUTERS -- Data Processing.
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COMPUTERS -- Hardware -- General.
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COMPUTERS -- Information Technology.
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COMPUTERS -- Machine Theory.
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COMPUTERS -- Reference.
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Artificial intelligence
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Big data
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Data mining
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High performance computing
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| Form |
Electronic book
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| Author |
Wang, Chao, 1985- editor.
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| ISBN |
9781315155524 |
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1315155524 |
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9781498784009 |
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1498784003 |
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