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» What is worth learning from parallel workloads
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JSSPP
2007
Springer
14 years 1 months ago
A Self-optimized Job Scheduler for Heterogeneous Server Clusters
Heterogeneous clusters and grid infrastructures are becoming increasingly popular. In these computing infrastructures, machines have different resources, including memory sizes, d...
Elad Yom-Tov, Yariv Aridor
CCGRID
2008
IEEE
14 years 2 months ago
Grid Differentiated Services: A Reinforcement Learning Approach
—Large scale production grids are a major case for autonomic computing. Following the classical definition of Kephart, an autonomic computing system should optimize its own beha...
Julien Perez, Cécile Germain-Renaud, Bal&aa...
AIED
2005
Springer
14 years 1 months ago
Towards Data-Driven Design of a Peer Collaborative Agent
The research literature investigating the construction of tutorial dialogue and learning companion environments present parallel experiences in attempting to emulate what has been ...
Gahgene Gweon, Carolyn Penstein Rosé, Regan...
ATAL
2008
Springer
13 years 9 months ago
Modeling parallel and reactive empathy in virtual agents: an inductive approach
Humans continuously assess one another's situational context, modify their own affective state, and then respond based on these outcomes through empathetic expression. Virtua...
Scott W. McQuiggan, Jennifer L. Robison, Robert Ph...
EUROPAR
2007
Springer
14 years 1 months ago
Experiences Understanding Performance in a Commercial Scale-Out Environment
Abstract. Clusters of loosely connected machines are becoming an important model for commercial computing. The cost/performance ratio makes these scale-out solutions an attractive ...
Robert W. Wisniewski, Reza Azimi, Mathieu Desnoyer...