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DCC
2006
IEEE
16 years 4 months ago
Compression and Machine Learning: A New Perspective on Feature Space Vectors
The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...
D. Sculley, Carla E. Brodley
CCGRID
2009
IEEE
15 years 11 months ago
Towards Visualization Scalability through Time Intervals and Hierarchical Organization of Monitoring Data
Highly distributed systems such as Grids are used today to the execution of large-scale parallel applications. The behavior analysis of these applications is not trivial. The comp...
Lucas Mello Schnorr, Guillaume Huard, Philippe Oli...
CSE
2009
IEEE
15 years 11 months ago
A Network-Aware Distributed Membership Protocol for Collaborative Defense
— To counteract current trends in network malware, distributed solutions have been developed that harness the power of collaborative end-host sensors. While these systems greatly...
David Zage, Carl Livadas, Eve M. Schooler
HPDC
2009
IEEE
15 years 11 months ago
Pluggable parallelisation
This paper presents the concept of pluggable parallelisation that allows scientists to develop “sequential like” codes that can take advantage of multi-core, cluster and grid ...
Rui C. Gonçalves, João Luís S...
135
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IPPS
2009
IEEE
15 years 11 months ago
A metascalable computing framework for large spatiotemporal-scale atomistic simulations
A metascalable (or “design once, scale on new architectures”) parallel computing framework has been developed for large spatiotemporal-scale atomistic simulations of materials...
Ken-ichi Nomura, Richard Seymour, Weiqiang Wang, H...