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AIPS
2006
15 years 7 months ago
Combining Stochastic Task Models with Reinforcement Learning for Dynamic Scheduling
We view dynamic scheduling as a sequential decision problem. Firstly, we introduce a generalized planning operator, the stochastic task model (STM), which predicts the effects of ...
Malcolm J. A. Strens
CAV
2010
Springer
214views Hardware» more  CAV 2010»
15 years 10 months ago
Learning Component Interfaces with May and Must Abstractions
elor Thesis: Demand Driven Abstraction Refinement • Advisor: Dr. Andrey Rybalchenko Kendriya Vidyalaya ONGC, Dehradun, Uttaranchal INDIA All India Senior Secondary Examination, ...
Rishabh Singh, Dimitra Giannakopoulou, Corina S. P...
PPAM
2007
Springer
16 years 5 days ago
A Formal Model of Multi-agent Computations
Abstract. The paper contains an extension of a formal model of multiagent computing system developed in previous publications towards considering a more general system state. We pr...
Maciej Smolka
CLUSTER
2009
IEEE
15 years 10 months ago
Analytical modeling and optimization for affinity based thread scheduling on multicore systems
Abstract--This paper proposes an analytical model to estimate the cost of running an affinity-based thread schedule on multicore systems. The model consists of three submodels to e...
Fengguang Song, Shirley Moore, Jack Dongarra
144
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IPPS
2006
IEEE
16 years 2 days ago
A hierarchical scheduling model for component-based real-time systems
In this paper, we propose a methodology for developing component-based real-time systems based on the concept of hierarchical scheduling. Recently, much work has been devoted to t...
José L. Lorente, Giuseppe Lipari, Enrico Bi...