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            Algorithms for Big Data

            DFG Priority Program 1736

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            Contributor(s)
            Bast, Hannah (editor)
            Korzen, Claudius (editor)
            Meyer, Ulrich (editor)
            Penschuck, Manuel (editor)
            Language
            English
            Show full item record
            Abstract
            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.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/189838
            Keywords
            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
            DOI
            10.1007/978-3-031-21534-6
            ISBN
            9783031215346
            Publisher
            Springer Nature
            Publisher website
            http://www.springernature.com/oabooks
            Publication date and place
            Cham, 2022
            Grantor
            • Goethe-Universität Frankfurt am Main
            Imprint
            Springer Nature Switzerland
            Series
            Lecture Notes in Computer Science,
            Pages
            285
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            Credits


            • logo Investir l'avenirInvestir l'avenir
            • logo MESRIMESRI
            • logo EUEuropean Union
              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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