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» Managing Distributed Applications Using Gush
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142
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CLUSTER
2010
IEEE
14 years 6 months ago
Middleware support for many-task computing
Many-task computing aims to bridge the gap between two computing paradigms, high throughput computing and high performance computing. Many-task computing denotes highperformance co...
Ioan Raicu, Ian T. Foster, Mike Wilde, Zhao Zhang,...
SC
2009
ACM
15 years 9 months ago
Highly scalable genome assembly on campus grids
Bioinformatics researchers need efficient means to process large collections of sequence data. One application of interest, genome assembly, has great potential for parallelizati...
Christopher Moretti, Michael Olson, Scott J. Emric...
ATAL
2009
Springer
15 years 9 months ago
Adaptive learning in evolving task allocation networks
In this paper, we study multi-agent economic systems using a recent approach to economic modeling called Agent-based Computational Economics (ACE): the application of the Complex ...
Tomas Klos, Bart Nooteboom
104
Voted
IPPS
2006
IEEE
15 years 8 months ago
Lossless compression for large scale cluster logs
The growing computational and storage needs of several scientific applications mandate the deployment of extreme-scale parallel machines, such as IBM’s Blue Gene/L which can acc...
R. Balakrishnan, Ramendra K. Sahoo
83
Voted
IPPS
2006
IEEE
15 years 8 months ago
Sim-X: parallel system software for interactive multi-experiment computational studies
Advances in high-performance computing have led to the broad use of computational studies in everyday engineering and scientific applications. A single study may require thousand...
Siu-Man Yau, Eitan Grinspun, Vijay Karamcheti, Den...