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In the world of High Performance Computing (newly renamed "High Productivity Computing"), where the race for performance is on, where the hunt for the last Flop rages and where the developers swear by the Cult of Power, the different applications have diff ...
Nowadays many customised embedded processors offer the possibility of speeding up an application by implementing it using Application-Specific Functional units (AFUs). However, the AFUs must satisfy certain constraints in terms of read and write ports betw ...
Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2008
The parallelized model is first presented and a scalability study is achieved. For computational time saving and memory requirement reasons, the implementation of a three dimensional SPH code implies the need for its parallelization, in order to make possi ...
With the growing complexity in consumer embedded products and the improvements in process technology, Multi-Processor System-On-Chip (MPSoC) architectures have become widespread. These new systems are very complex to design as they must execute multiple co ...
Dynamically allocating computing nodes to parallel applications is a promising technique for improving the utilization of cluster resources. Detailed simulations can help identify allocation strategies and problem decomposition parameters that increase the ...
With the growing complexity in consumer embedded products and the improvements in process technology, Multi-Processor System-On-Chip (MPSoC) architectures have become widespread. These new systems are very complex to design as they must execute multiple co ...
An efficient and general multiple kernel learning (MKL) algorithm has been recently proposed by \singleemcite{sonnenburg_mkljmlr}. This approach has opened new perspectives since it makes the MKL approach tractable for large-scale problems, by iteratively ...
An efficient and general multiple kernel learning (MKL) algorithm has been recently proposed by \singleemcite{sonnenburg_mkljmlr}. This approach has opened new perspectives since it makes the MKL approach tractable for large-scale problems, by iteratively ...
Combining several classifiers has proved to be an efficient machine learning technique. Two concepts influence clearly the efficiency of an ensemble: the diversity between classifiers and the individual accuracies of the classifiers. We use an information ...
Scheduling policies are proposed for parallelizing data intensive particle physics analysis applications on computer clusters. Particle physics analysis jobs require the analysis of tens of thousands of particle collision events, each event requiring typic ...
IEEE Computer Society, Los Alamitos;Massey University, Palmerston, CA 90720-1314, United States;New Zealand2004
