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» Optimal scheduling of task graphs on parallel systems
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AI
2011
Springer
14 years 8 months ago
Parallelizing a Convergent Approximate Inference Method
Probabilistic inference in graphical models is a prevalent task in statistics and artificial intelligence. The ability to perform this inference task efficiently is critical in l...
Ming Su, Elizabeth Thompson
CCGRID
2009
IEEE
15 years 11 months ago
Reliability-Oriented Genetic Algorithm for Workflow Applications Using Max-Min Strategy
— To optimize makespan and reliability for workflow applications, most existing works use list heuristics rather than genetic algorithms (GAs) which can usually give better solut...
Xiaofeng Wang, Rajkumar Buyya, Jinshu Su
TVLSI
2008
107views more  TVLSI 2008»
15 years 4 months ago
Static and Dynamic Temperature-Aware Scheduling for Multiprocessor SoCs
Thermal hot spots and high temperature gradients degrade reliability and performance, and increase cooling costs and leakage power. In this paper, we explore the benefits of temper...
Ayse Kivilcim Coskun, T. T. Rosing, Keith Whisnant...
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RTAS
2005
IEEE
15 years 10 months ago
Improving WCET by Optimizing Worst-Case Paths
It is advantageous to perform compiler optimizations to lower the WCET of a task since tasks with lower WCETs are easier to schedule and more likely to meet their deadlines. Compi...
Wankang Zhao, William C. Kreahling, David B. Whall...
GRID
2004
Springer
15 years 9 months ago
A Novel Architecture for Realizing Grid Workflow using Tuple Spaces
Grid workflow can be defined as the composition of grid application services which execute on heterogeneous and distributed resources in a well-defined order to accomplish a speci...
Jia Yu, Rajkumar Buyya