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        Invasive Computing

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        Author(s)
        Anantharajaiah, Nidhi
        Asfour, Tamim
        Bader, Michael
        Bauer, Lars
        Becker, Jürgen
        Bischof, Simon
        Brand, Marcel
        Bungartz, Hans-Joachim
        Eichler, Christian
        Esper, Khalil
        Falk, Joachim
        Fasfous, Nael
        Freiling, Felix
        Fried, Andreas
        Gerndt, Michael
        Glaß, Michael
        Gonzalez, Jeferson
        Hannig, Frank
        Heidorn, Christian
        Henkel, Jörg
        Herkersdorf, Andreas
        Herzog, Benedict
        John, Jophin
        Hönig, Timo
        Hundhausen, Felix
        Khdr, Heba
        Langer, Tobias
        Lenke, Oliver
        Lesniak, Fabian
        Lindermayr, Alexander
        Listl, Alexandra
        Maier, Sebastian
        Megow, Nicole
        Mettler, Marcel
        Müller-Gritschneder, Daniel
        Nassar, Hassan
        Paus, Fabian
        Pöppl, Alexander
        Pourmohseni, Behnaz
        Rabenstein, Jonas
        Raffeck, Phillip
        Rapp, Martin
        Narváez Rivas, Santiago
        Sagi, Mark
        Schirrmacher, Franziska
        Schlichtmann, Ulf
        Schmaus, Florian
        Schröder-Preikschat, Wolfgang
        Schwarzer, Tobias
        Sikal, Mohammed Bakr
        Simon, Bertrand
        Snelting, Gregor
        Spieck, Jan
        Srivatsa, Akshay
        Stechele, Walter
        Teich, Jürgen
        Turan, Furkan
        Comprés Ureña, Isaías A.
        Verbauwhede, Ingrid
        Walter, Dominik
        Wild, Thomas
        Wildermann, Stefan
        Wille, Mario
        Witterauf, Michael
        Zhang, Li
        Contributor(s)
        Teich, Jürgen (editor)
        Henkel, Jörg (editor)
        Herkersdorf, Andreas (editor)
        Collection
        AG Universitätsverlage
        Language
        English
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        Abstract
        Invasive computing is a paradigm for designing and programming future parallel computing systems. For systems with 1,000 or more cores on a chip, resource-aware programming is of utmost importance to obtain high utilisation as well as computational, energy and power efficiency. Invasive computing provides a programmer explicit handles to specify and argue about resource requirements desired or required in different phases of execution: In an invade phase, an application asks the operating system to allocate a set of processor, memory and communication resources to be claimed. In a subsequent infect phase, the parallel workload is spread and executed on the obtained claim of resources. Finally, if the degree of parallelism should be lower again, a retreat operation frees the claim again, and the application resumes a sequential execution. To support this idea of self-adaptive and resource-aware programming, not only new programming concepts, languages, compilers, and operating systems were needed to be developed, but also revolutionary architectural changes in the design of MPSoCs (multiprocessor systems-on-a-chip) to efficiently support invasion, infection, and retreat operations. This book gives a comprehensive overview of all aspects of invasive computing.
        URI
        https://library.oapen.org/handle/20.500.12657/109619
        Keywords
        Parallelprogrammierung; Dienstgüte; Network-on-Chip; Chip-Multiprozessor; System-on-Chip; Parallelverarbeitung; Hardwarebeschleunigung; Ressourcenverwaltung; Ablaufplanung
        DOI
        10.25593/978-3-96147-571-1
        ISBN
        9783961475711, 9783961475711, 9783961475704
        Publisher
        FAU University Press
        Publisher website
        https://www.university-press.fau.de/
        Publication date and place
        Erlangen, 2022
        Classification
        Embedded systems
        Programming techniques
        Distributed systems
        Systems analysis and design
        Computer architecture and logic design
        Pages
        431
        Rights
        https://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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