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» An Evaluation Methodology for Computational Grids
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TSP
2010
15 years 1 months ago
Optimization and analysis of distributed averaging with short node memory
Distributed averaging describes a class of network algorithms for the decentralized computation of aggregate statistics. Initially, each node has a scalar data value, and the goal...
Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
APGV
2005
ACM
112views Visualization» more  APGV 2005»
15 years 12 months ago
A framework for comparing task performance in real and virtual scenes
In this paper, we describe a framework for comparing task performance in real and virtual environments. Realistic graphics, rear projection, haptics and rapid prototyping are used...
Sarah Howlett, Richard Lee, Carol O'Sullivan
IEEEARES
2007
IEEE
16 years 22 days ago
On the Assessment of the Interaction Quality of Users with Cerebral Palsy
This paper is the continuation of a series of related work about experimentation of alternative ways of interaction with computers for disabled people (concretely with users suffe...
Cesar Mauri, Toni Granollers, Agusti Solanas
FLAIRS
2003
15 years 7 months ago
Learning Opening Strategy in the Game of Go
In this paper, we present an experimental methodology and results for a machine learning approach to learning opening strategy in the game of Go, a game for which the best compute...
Timothy Huang, Graeme Connell, Bryan McQuade
CLUSTER
2007
IEEE
16 years 23 days ago
Dynamic scheduling of multi-processor tasks on clusters of clusters
— In this article we tackle the problem of scheduling a dynamically generated DAG of multi-processor tasks (M-tasks). At first, we outline the need of such a scheduling approach...
Sascha Hunold, Thomas Rauber, Gudula Rünger