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ICAC
2008
IEEE
14 years 3 months ago
Utility-Based Reinforcement Learning for Reactive Grids
—Large scale production grids are an important case for autonomic computing. They follow a mutualization paradigm: decision-making (human or automatic) is distributed and largely...
Julien Perez, Cécile Germain-Renaud, Bal&aa...
PPOPP
1999
ACM
14 years 1 months ago
Automatic Node Selection for High Performance Applications on Networks
A central problem in executing performance critical parallel and distributed applications on shared networks is the selection of computation nodes and communication paths for exec...
Jaspal Subhlok, Peter Lieu, Bruce Lowekamp
ATAL
2010
Springer
13 years 10 months ago
Evolving policy geometry for scalable multiagent learning
A major challenge for traditional approaches to multiagent learning is to train teams that easily scale to include additional agents. The problem is that such approaches typically...
David B. D'Ambrosio, Joel Lehman, Sebastian Risi, ...
DAC
2004
ACM
14 years 2 months ago
Area-efficient instruction set synthesis for reconfigurable system-on-chip designs
Silicon compilers are often used in conjunction with Field Programmable Gate Arrays (FPGAs) to deliver flexibility, fast prototyping, and accelerated time-to-market. Many of these...
Philip Brisk, Adam Kaplan, Majid Sarrafzadeh
POLICY
2004
Springer
14 years 2 months ago
DecisionQoS: An Adaptive, Self-Evolving QoS Arbitration Module for Storage Systems
As a consequence of the current trend towards consolidating computing, storage and networking infrastructures into large centralized data centers, applications compete for shared ...
Sandeep Uttamchandani, Guillermo A. Alvarez, Gul A...