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» Stochastic Modeling of Scaled Parallel Programs
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FLAIRS
2009
13 years 2 months ago
Dynamic Programming Approximations for Partially Observable Stochastic Games
Partially observable stochastic games (POSGs) provide a rich mathematical framework for planning under uncertainty by a group of agents. However, this modeling advantage comes wit...
Akshat Kumar, Shlomo Zilberstein
PVM
2010
Springer
13 years 3 months ago
PMI: A Scalable Parallel Process-Management Interface for Extreme-Scale Systems
Parallel programming models on large-scale systems require a scalable system for managing the processes that make up the execution of a parallel program. The process-management sys...
Pavan Balaji, Darius Buntinas, David Goodell, Will...
DAC
2010
ACM
13 years 8 months ago
On the costs and benefits of stochasticity in stream processing
With the end of clock-frequency scaling, parallelism has emerged as the key driver of chip-performance growth. Yet, several factors undermine efficient simultaneous use of onchip ...
Raj R. Nadakuditi, Igor L. Markov
ICPPW
2005
IEEE
13 years 10 months ago
Performance Prophet: A Performance Modeling and Prediction Tool for Parallel and Distributed Programs
High-performance computing is essential for solving large problems and for reducing the time to solution for a single problem. Current top high-performance computing systems conta...
Sabri Pllana, Thomas Fahringer
CCGRID
2008
IEEE
13 years 11 months ago
A Stochastic Programming Approach for QoS-Aware Service Composition
—We formulate the service composition problem as a multi-objective stochastic program which simultaneously optimizes the following quality of service (QoS) parameters: workflow ...
Wolfram Wiesemann, Ronald Hochreiter, Daniel Kuhn