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» Modeling Parallel System Workloads with Temporal Locality
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166
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HPCA
2008
IEEE
16 years 6 months ago
Automated microprocessor stressmark generation
Estimating the maximum power and thermal characteristics of a processor is essential for designing its power delivery system, packaging, cooling, and power/thermal management sche...
Ajay M. Joshi, Lieven Eeckhout, Lizy Kurian John, ...
157
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IPPS
2006
IEEE
16 years 12 days ago
MegaProto/E: power-aware high-performance cluster with commodity technology
In our research project named “Mega-Scale Computing Based on Low-Power Technology and Workload Modeling”, we have been developing a prototype cluster not based on ASIC or FPGA...
Taisuke Boku, Mitsuhisa Sato, Daisuke Takahashi, H...
211
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GPC
2007
Springer
16 years 16 days ago
Design of PeerSum: A Summary Service for P2P Applications
Sharing huge databases in distributed systems is inherently difficult. As the amount of stored data increases, data localization techniques become no longer sufficient. A more ef...
Rabab Hayek, Guillaume Raschia, Patrick Valduriez,...
174
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KBSE
2009
IEEE
16 years 1 months ago
A Framework for State-Space Exploration of Java-Based Actor Programs
—The actor programming model offers a promising model for developing reliable parallel and distributed code. Actors provide flexibility and scalability: local execution may be i...
Steven Lauterburg, Mirco Dotta, Darko Marinov, Gul...
168
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APGV
2006
ACM
16 years 10 days ago
Stevens dot patterns for 2D flow visualization
This paper describes a new technique to visualize 2D flow fields with a sparse collection of dots. A cognitive model proposed by Kent Stevens describes how spatially local con...
Laura Tateosian, Brent M. Dennis, Christopher G. H...