Superlinear Scalability in Parallel Computing and Multi-robot Systems: Shared Resources, Collaboration, and Network Topology

Heiko Hamann

Abstract

The uniting idea of both parallel computing and multi-robot systems is that having multiple processors or robots working on a task decreases the processing time. Typically we desire a linear speedup, that is, doubling the number of processing units halves the execution time. Sometimes superlinear scalability is observed in parallel computing systems and more frequently in multi-robot and swarm systems. Superlinearity means each individual processing unit gets more efficient by increasing the system size---a desired and rather counterintuitive phenomenon.d
OriginalspracheEnglisch
TitelArchitecture of Computing Systems -- ARCS 2018
Redakteure/-innenMladen Berekovic, Rainer Buchty, Heiko Hamann, Dirk Koch, Thilo Pionteck
Seitenumfang12
Band10793
ErscheinungsortCham
Herausgeber (Verlag)Springer International Publishing
Erscheinungsdatum08.03.2018
Seiten31-42
ISBN (Print)978-3-319-77609-5
ISBN (elektronisch)978-3-319-77610-1
DOIs
PublikationsstatusVeröffentlicht - 08.03.2018
Veranstaltung31st International Conference on Architecture of Computing Systems - Braunschweig, Deutschland
Dauer: 09.04.201812.04.2018
Konferenznummer: 212709

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