High Performance Big Data Computing (Record no. 49203)

MARC details
000 -LEADER
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.