High Performance Big Data Computing (Record no. 49203)
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000 -LEADER | |
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fixed length control field | 02398 a2200217 4500 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20241231112650.0 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9780262046855 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 005.7 PAN |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Panda, Dhabaleswar K |
245 ## - TITLE STATEMENT | |
Title | High Performance Big Data Computing |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Name of publisher, distributor, etc | MIT Press |
Place of publication, distribution, etc | London |
Date of publication, distribution, etc | 2022 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 266 |
520 ## - SUMMARY, ETC. | |
Summary, etc | 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. Series Overview: The Scientific and Engineering Computation Series from MIT Press presents accessible accounts of computing research areas normally presented in research papers and specialized conferences. Elements of modern computing that have appeared thus far in the series include parallelism, language design and implementation, system software, and numerical libraries. The scope of the series continues to expand with the spread of ideas from computing into new aspects of science. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Computing |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Big data |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Data Management |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | HPC Architectures |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Lu, Xiaoyi |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Shankar, Dipti, |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | Book |
Source of classification or shelving scheme | Dewey Decimal Classification |
No items available.