Distributed Resource Reservation in Massively Parallel Processor Arrays

Beitrag bei einer Tagung


Details zur Publikation

Autor(en): Lari V, Hannig F, Teich J
Titel Sammelwerk: IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum
Verlag: IEEE Press
Verlagsort: New York, NY, USA
Jahr der Veröffentlichung: 2011
Tagungsband: Proc. of the 25th IEEE International Symposium on Parallel and Distributed Processing
Seitenbereich: 318-321
ISBN: 978-1-61284-425-1


Abstract


This paper proposes a methodology for applications to automatically claim linear arrays of processing elements within massively parallel processor arrays at run-time depending on the available degree of parallelism or dynamic computing requirements. Using this methodology, parallel programs running on individual processing elements gain the capability of autonomously managing the available processing resources in their neighborhood. We present different protocols and architectural support for gathering and transporting the result of a resource exploration for informing a configuration loader about the number and location of the claimed resources. Timing and data overhead cost of four different approaches are mathematically evaluated. In order to verify and compare these decentralized algorithms, a simulation platform has been developed to compare the data overhead and scalability of each approach for different sizes of processor arrays. © 2011 IEEE.



FAU-Autoren / FAU-Herausgeber

Hannig, Frank PD Dr.-Ing.
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)
Lari, Vahid
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)
Teich, Jürgen Prof. Dr.-Ing.
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)


Zitierweisen

APA:
Lari, V., Hannig, F., & Teich, J. (2011). Distributed Resource Reservation in Massively Parallel Processor Arrays. In Proc. of the 25th IEEE International Symposium on Parallel and Distributed Processing (pp. 318-321). Anchorage, AK, US: New York, NY, USA: IEEE Press.

MLA:
Lari, Vahid, Frank Hannig, and Jürgen Teich. "Distributed Resource Reservation in Massively Parallel Processor Arrays." Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing (IPDPS'11), Anchorage, AK New York, NY, USA: IEEE Press, 2011. 318-321.

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