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» Learning in Parallel Universes
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136
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EMNLP
2008
15 years 5 months ago
Phrase Translation Probabilities with ITG Priors and Smoothing as Learning Objective
The conditional phrase translation probabilities constitute the principal components of phrase-based machine translation systems. These probabilities are estimated using a heurist...
Markos Mylonakis, Khalil Sima'an
145
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HPDC
2010
IEEE
15 years 4 months ago
Lessons learned from moving earth system grid data sets over a 20 Gbps wide-area network
In preparation for the Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report, the climate community will run the Coupled Model Intercomparison Project phase 5 (...
Rajkumar Kettimuthu, Alex Sim, Dan Gunter, Bill Al...
137
Voted
PPOPP
2009
ACM
16 years 4 months ago
Effective performance measurement and analysis of multithreaded applications
Understanding why the performance of a multithreaded program does not improve linearly with the number of cores in a sharedmemory node populated with one or more multicore process...
Nathan R. Tallent, John M. Mellor-Crummey
154
Voted
IPPS
2000
IEEE
15 years 8 months ago
Run-Time Support for Adaptive Load Balancing
Abstract. Many parallel scienti c applications have dynamic and irregular computational structure. However, most such applications exhibit persistence of computational load and com...
Milind A. Bhandarkar, Robert Brunner, Laxmikant V....
128
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SPAA
1997
ACM
15 years 8 months ago
Pipelining with Futures
Pipelining has been used in the design of many PRAM algorithms to reduce their asymptotic running time. Paul, Vishkin, and Wagener (PVW) used the approach in a parallel implementat...
Guy E. Blelloch, Margaret Reid-Miller