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» Adaptive work-stealing with parallelism feedback
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TOCS
2008
154views more  TOCS 2008»
14 years 9 months ago
Adaptive work-stealing with parallelism feedback
We present an adaptive work-stealing thread scheduler, ASTEAL, for fork-join multithreaded jobs, like those written using the Cilk multithreaded language or the Hood work-stealing...
Kunal Agrawal, Charles E. Leiserson, Yuxiong He, W...
ISORC
2000
IEEE
15 years 2 months ago
Hierarchical Feedback Adaptation for Real Time Sensor-Based Distributed Applications
This paper presents an innovative hierarchical feedback adaptation method that efficiently controls the dynamic QoS behavior of real-time distributed data-flow applications, such ...
Mihaela Cardei, Ionut Cardei, Rakesh Jha, Allalagh...
ICASSP
2011
IEEE
14 years 1 months ago
Parallel computation of adaptive lattice filters
Parallel computation of the adaptive lattice filtering algorithm is difficult due to the dependency problem caused by feedback operations. The conventional control-level paralle...
Dong-hwan Lee, Wonyong Sung
IPPS
2002
IEEE
15 years 2 months ago
FARM: A Feedback-Based Adaptive Resource Management for Autonomous Hot-Spot Convergence System
Abstract— In this paper, we present a novel and comprehensive resource management solution for the autonomous hot-spot convergence system (AHSCS) that uses sensor web. This solut...
S. Swaminathan, G. Manimaran
68
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ICDM
2005
IEEE
190views Data Mining» more  ICDM 2005»
15 years 3 months ago
Adaptive Clustering: Obtaining Better Clusters Using Feedback and Past Experience
Adaptive clustering uses external feedback to improve cluster quality; past experience serves to speed up execution time. An adaptive clustering environment is proposed that uses ...
Abraham Bagherjeiran, Christoph F. Eick, Chun-Shen...