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APPT
2009
Springer
14 years 2 months ago
A Fast Scheme to Investigate Thermal-Aware Scheduling Policy for Multicore Processors
Abstract. With more cores integrated into one single chip, the overall power consumption from the multiple concurrent running programs increases dramatically in a CMP processor whi...
Liqiang He, Cha Narisu
CLUSTER
2008
IEEE
14 years 2 months ago
Magnet: A novel scheduling policy for power reduction in cluster with virtual machines
—The concept of green computing has attracted much attention recently in cluster computing. However, previous local approaches focused on saving the energy cost of the components...
Liting Hu, Hai Jin, Xiaofei Liao, Xianjie Xiong, H...
SIGMETRICS
2005
ACM
118views Hardware» more  SIGMETRICS 2005»
14 years 1 months ago
Nearly insensitive bounds on SMART scheduling
We define the class of SMART scheduling policies. These are policies that bias towards jobs with small remaining service times, jobs with small original sizes, or both, with the ...
Adam Wierman, Mor Harchol-Balter, Takayuki Osogami
IPPS
2009
IEEE
14 years 2 months ago
Work-first and help-first scheduling policies for async-finish task parallelism
Multiple programming models are emerging to address an increased need for dynamic task parallelism in applications for multicore processors and shared-address-space parallel compu...
Yi Guo, Rajkishore Barik, Raghavan Raman, Vivek Sa...
JSSPP
1997
Springer
14 years 1 days ago
An Experimental Evaluation of Processor Pool-Based Scheduling for Shared-Memory NUMA Multiprocessors
In this paper we describe the design, implementation and experimental evaluation of a technique for operating system schedulers called processor pool-based scheduling [51]. Our tec...
Tim Brecht