A Hybrid Real-Time Scheduling Approach for Large-Scale Multicore Platforms

E
ECRTS
2007
19th Euromicro Conference on Real-Time Systems (ECRTS'07)
Abstract - A Hybrid Real-Time Scheduling Approach for Large-Scale Multicore Platforms

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19th Euromicro Conference on Real-Time Systems (ECRTS'07)

Pisa, Italy

July 04-July 06

ISBN: 0-7695-2914-3

	ASCII Text	x
	John M. Calandrino, James H. Anderson, Dan P. Baumberger, "A Hybrid Real-Time Scheduling Approach for Large-Scale Multicore Platforms," Real-Time Systems, Euromicro Conference on, pp. 247-258, 19th Euromicro Conference on Real-Time Systems (ECRTS'07), 2007.

	BibTex	x
	@article{ 10.1109/ECRTS.2007.81, author = {John M. Calandrino and James H. Anderson and Dan P. Baumberger}, title = {A Hybrid Real-Time Scheduling Approach for Large-Scale Multicore Platforms}, journal ={Real-Time Systems, Euromicro Conference on}, volume = {0}, year = {2007}, issn = {1068-3070}, pages = {247-258}, doi = {http://doi.ieeecomputersociety.org/10.1109/ECRTS.2007.81}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Real-Time Systems, Euromicro Conference on TI - A Hybrid Real-Time Scheduling Approach for Large-Scale Multicore Platforms SN - 1068-3070 SP247 EP258 A1 - John M. Calandrino, A1 - James H. Anderson, A1 - Dan P. Baumberger, PY - 2007 KW - null VL - 0 JA - Real-Time Systems, Euromicro Conference on ER -

John M. Calandrino, The University of North Carolina at Chapel Hill, USA

James H. Anderson, The University of North Carolina at Chapel Hill, USA

Dan P. Baumberger, Intel Corporation, USA

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ECRTS.2007.81

We propose a hybrid approach for scheduling real-time tasks on large-scale multicore platforms with hierarchical shared caches. In this approach, a multicore platform is partitioned into clusters. Tasks are statically assigned to these clusters, and scheduled within each cluster using the preemptive global EDF scheduling algorithm. We show that this hybrid of partitioning and global scheduling performs better on large-scale platforms than either approach alone. We also determine the appropriate cluster size to achieve the best performance possible, given the characteristics of the task set to be supported.

Citation:

John M. Calandrino, James H. Anderson, Dan P. Baumberger, "A Hybrid Real-Time Scheduling Approach for Large-Scale Multicore Platforms," ecrts, pp.247-258, 19th Euromicro Conference on Real-Time Systems (ECRTS'07), 2007

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