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» Unfairness Metrics for Space-Sharing Parallel Job Schedulers
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IPPS
2005
IEEE
13 years 11 months ago
Scheduling Algorithms for Effective Thread Pairing on Hybrid Multiprocessors
With the latest high-end computing nodes combining shared-memory multiprocessing with hardware multithreading, new scheduling policies are necessary for workloads consisting of mu...
Robert L. McGregor, Christos D. Antonopoulos, Dimi...
HPDC
2010
IEEE
13 years 6 months ago
Toward high performance computing in unconventional computing environments
Parallel computing on volatile distributed resources requires schedulers that consider job and resource characteristics. We study unconventional computing environments containing ...
Brent Rood, Nathan Gnanasambandam, Michael J. Lewi...
CLUSTER
2003
IEEE
13 years 11 months ago
Improving Performance of a Dynamic Load Balancing System by Using Number of Effective Tasks
Efficient resource usage is a key to achieving better performance in cluster systems. Previously, most research in this area has focused on balancing the load of each node to use...
Min Choi, Jung-Lok Yu, Hojoong Kim, Seung Ryoul Ma...
HIPC
2000
Springer
13 years 9 months ago
Characterization and enhancement of Static Mapping Heuristics for Heterogeneous Systems
Heterogeneous computing environments have become attractive platforms to schedule computationally intensive jobs. We consider the problem of mapping independent tasks onto machines...
Praveen Holenarsipur, Vladimir Yarmolenko, Jos&eac...
IPPS
2010
IEEE
13 years 4 months ago
Dynamic Fractional Resource Scheduling for cluster platforms
We propose a novel approach, called Dynamic Fractional Resource Scheduling (DFRS), to share homogeneous cluster computing platforms among competing jobs. DFRS leverages virtual mac...
Mark Stillwell