{"product_id":"highperformance-big-data-computing-isbn-9780262046855","title":"High-Performance Big Data Computing","description":"\u003cb\u003eAn in-depth overview of an emerging field that brings together high-performance computing, big data processing, and deep lLearning.\u003cbr\u003e \u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eOver the last decade, the exponential explosion of data known as \u003ci\u003ebig data\u003c\/i\u003e 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. \u003cbr\u003e \u003cbr\u003eThe 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.\u003cbr\u003e Acknowledgments viii\u003cbr\u003e1 Introduction 1\u003cbr\u003e2 Parallel Programming Models and Systems 13\u003cbr\u003e3 Parallel and Distributed Storage Systems 37\u003cbr\u003e4 HPC Architectures and Trends 61\u003cbr\u003e5 Opportunities and Challenges in Accelerating Big Data Computing 93\u003cbr\u003e6 Benchmarking Big Data Systems 107\u003cbr\u003e7 Accelerations with RDMA 121\u003cbr\u003e8 Accelerations with Multicore\/Accelerator Technologies 145\u003cbr\u003e9 Acceleration with High-Performance Storage Technologies 159\u003cbr\u003e10 Deep Learning over Big Data 175\u003cbr\u003e11 Designs with Cloud Technologies 195\u003cbr\u003e12 Frontier Research on High-Performance Big Data Computing 215\u003cbr\u003eReferences 227\u003cbr\u003eIndex 257\u003cb\u003eDhabaleswar K. Panda\u003c\/b\u003e is Professor and University Distinguished Scholar of Computer Science and Engineering at the Ohio State University. \u003cb\u003eXiaoyi Lu\u003c\/b\u003e is an Assistant Professor in the Department of Computer Science and Engineering at the University of California, Merced. \u003cb\u003eDipti Shankar\u003c\/b\u003e is currently working at SAP, Germany.\u003cbr\u003e ","brand":"The MIT Press","offers":[{"title":"Default Title","offer_id":46302695162085,"sku":"NP9780262046855","price":55.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780262046855.jpg?v=1767729032","url":"https:\/\/k12savings.com\/products\/highperformance-big-data-computing-isbn-9780262046855","provider":"K12savings","version":"1.0","type":"link"}