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» The MHETA Execution Model for Heterogeneous Clusters
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IPPS
2009
IEEE
14 years 11 hour ago
Revisiting communication performance models for computational clusters
—In this paper, we analyze restrictions of traditional models affecting the accuracy of analytical prediction of the execution time of collective communication operations. In par...
Alexey L. Lastovetsky, Vladimir Rychkov, Maureen O...
IPPS
2002
IEEE
13 years 10 months ago
Characterizing NAS Benchmark Performance on Shared Heterogeneous Networks
The goal of this research is to develop performance profiles of parallel and distributed applications in order to predict their execution time under different network conditions....
Jaspal Subhlok, Shreenivasa Venkataramaiah, Amitoj...
CCGRID
2008
IEEE
13 years 7 months ago
A Probabilistic Model to Analyse Workflow Performance on Production Grids
Production grids are complex and highly variable systems whose behavior is not well understood and difficult to anticipate. The goal of this study is to estimate the impact of the ...
Tristan Glatard, Johan Montagnat, Xavier Pennec
CORR
2007
Springer
141views Education» more  CORR 2007»
13 years 5 months ago
Managing Uncertainty: A Case for Probabilistic Grid Scheduling
The Grid technology is evolving into a global, service-orientated architecture – a universal platform for delivering future high demand computational services. Strong adoption of...
Aleksandar Lazarevic, Lionel Sacks, Ognjen Prnjat
ICPP
2009
IEEE
14 years 17 hour ago
Speeding Up Distributed MapReduce Applications Using Hardware Accelerators
—In an attempt to increase the performance/cost ratio, large compute clusters are becoming heterogeneous at multiple levels: from asymmetric processors, to different system archi...
Yolanda Becerra, Vicenç Beltran, David Carr...