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

Heiko Hamann

doi:10.1007/978-3-319-77610-1_3

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

Heiko Hamann

Institut für Technische Informatik

16 Zitate (Scopus)

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

Originalsprache	Englisch
Titel	Architecture of Computing Systems -- ARCS 2018
Redakteure/-innen	Mladen Berekovic, Rainer Buchty, Heiko Hamann, Dirk Koch, Thilo Pionteck
Seitenumfang	12
Band	10793
Erscheinungsort	Cham
Herausgeber (Verlag)	Springer International Publishing
Erscheinungsdatum	08.03.2018
Seiten	31-42
ISBN (Print)	978-3-319-77609-5
ISBN (elektronisch)	978-3-319-77610-1
DOIs	https://doi.org/10.1007/978-3-319-77610-1_3
Publikationsstatus	Veröffentlicht - 08.03.2018
Veranstaltung	31st International Conference on Architecture of Computing Systems - Braunschweig, Deutschland Dauer: 09.04.2018 → 12.04.2018 Konferenznummer: 212709

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

Dokumente

10.1007/978-3-319-77610-1_3

Weitere Links

https://www.scopus.com/pages/publications/85045454956

Zitieren

Hamann, H. (2018). Superlinear Scalability in Parallel Computing and Multi-robot Systems: Shared Resources, Collaboration, and Network Topology. in M. Berekovic, R. Buchty, H. Hamann, D. Koch, & T. Pionteck (Hrsg.), Architecture of Computing Systems -- ARCS 2018 (Band 10793, S. 31-42). (Lecture Notes in Computer Science ; Band 10793). Springer International Publishing. https://doi.org/10.1007/978-3-319-77610-1_3

Hamann, Heiko. / Superlinear Scalability in Parallel Computing and Multi-robot Systems: Shared Resources, Collaboration, and Network Topology. Architecture of Computing Systems -- ARCS 2018. Hrsg. / Mladen Berekovic ; Rainer Buchty ; Heiko Hamann ; Dirk Koch ; Thilo Pionteck. Band 10793 Cham : Springer International Publishing, 2018. S. 31-42 (Lecture Notes in Computer Science ).

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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",

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Hamann, H 2018, Superlinear Scalability in Parallel Computing and Multi-robot Systems: Shared Resources, Collaboration, and Network Topology. in M Berekovic, R Buchty, H Hamann, D Koch & T Pionteck (Hrsg.), Architecture of Computing Systems -- ARCS 2018. Bd. 10793, Lecture Notes in Computer Science , Bd. 10793, Springer International Publishing, Cham, S. 31-42, 31st International Conference on Architecture of Computing Systems, Braunschweig, Niedersachsen, Deutschland, 09.04.18. https://doi.org/10.1007/978-3-319-77610-1_3

Superlinear Scalability in Parallel Computing and Multi-robot Systems: Shared Resources, Collaboration, and Network Topology. / Hamann, Heiko.
Architecture of Computing Systems -- ARCS 2018. Hrsg. / Mladen Berekovic; Rainer Buchty; Heiko Hamann; Dirk Koch; Thilo Pionteck. Band 10793 Cham: Springer International Publishing, 2018. S. 31-42 (Lecture Notes in Computer Science ; Band 10793).

Publikation: Kapitel in Büchern/Berichten/Konferenzbänden › Konferenzbeitrag › Begutachtung

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