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Algorithms for Big Data

This open access book surveys the progress in addressing selected challenges related to the growth of big data in combination with increasingly complicated hardware. It emerged from a research program established by the German Research Foundation (DFG) as priority program SPP 1736 on Algorithmics fo...

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Format: Online
Language:English
Published: Springer Nature 2023
Subjects:
computer hardware
computer networks
computer programming
computer science
computer systems
directed graphs
distributed computer systems
distributed systems
engineering
graph theory
graphic methods
internet
mathematics
microprocessor chips
network protocols
parallel processing systems
processors
signal processing
telecommunication systems
theoretical computer science
thema EDItEUR::U Computing and Information Technology::UK Computer hardware::UKN Network hardware
thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation
Online Access:ONIX_20230213_9783031215346_38
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Summary:This open access book surveys the progress in addressing selected challenges related to the growth of big data in combination with increasingly complicated hardware. It emerged from a research program established by the German Research Foundation (DFG) as priority program SPP 1736 on Algorithmics for Big Data where researchers from theoretical computer science worked together with application experts in order to tackle problems in domains such as networking, genomics research, and information retrieval. Such domains are unthinkable without substantial hardware and software support, and these systems acquire, process, exchange, and store data at an exponential rate. The chapters of this volume summarize the results of projects realized within the program and survey-related work. This is an open access book.

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