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» Adaptive work-stealing with parallelism feedback
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TOCS
2008
154views more  TOCS 2008»
13 years 7 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
13 years 12 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
12 years 11 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
14 years 11 days 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
ICDM
2005
IEEE
190views Data Mining» more  ICDM 2005»
14 years 1 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...