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» Mapping Heterogeneous Distributed Applications on Clusters
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SIGMETRICS
2009
ACM
151views Hardware» more  SIGMETRICS 2009»
14 years 4 months ago
MapReduce optimization using regulated dynamic prioritization
We present a system for allocating resources in shared data and compute clusters that improves MapReduce job scheduling in three ways. First, the system uses regulated and user-as...
Thomas Sandholm, Kevin Lai
IPPS
2009
IEEE
14 years 4 months ago
CellMR: A framework for supporting mapreduce on asymmetric cell-based clusters
The use of asymmetric multi-core processors with onchip computational accelerators is becoming common in a variety of environments ranging from scientific computing to enterprise...
M. Mustafa Rafique, Benjamin Rose, Ali Raza Butt, ...
CIKM
2009
Springer
14 years 2 months ago
Heterogeneous cross domain ranking in latent space
Traditional ranking mainly focuses on one type of data source, and effective modeling still relies on a sufficiently large number of labeled or supervised examples. However, in m...
Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Zi Yang,...
CIKM
2010
Springer
13 years 7 months ago
Automatic schema merging using mapping constraints among incomplete sources
Schema merging is the process of consolidating multiple schemas into a unified view. The task becomes particularly challenging when the schemas are highly heterogeneous and autono...
Xiang Li 0002, Christoph Quix, David Kensche, Sand...
CCGRID
2010
IEEE
13 years 10 months ago
An MPI-Stream Hybrid Programming Model for Computational Clusters
The MPI programming model hides network type and topology from developers, but also allows them to seamlessly distribute a computational job across multiple cores in both an intra ...
Emilio Pasquale Mancini, Gregory Marsh, Dhabaleswa...