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We present a scalable framework for parallelizing greedy graph coloring algorithms on distributed-memory computers.
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We introduce a scalable framework for variable selection, implemented in C++ and OpenCL, that fits regularized regression across multiple Graphics Processing Units.
A scalable framework for mobile real-time group communication services is developed in this paper.
The Differentiated Service (DiffServ) network model has been defined as a scalable framework for providing Quality of Service to applications.
Semantic Web technologies provide a scalable framework for data standardization and data integration from heterogeneous resources.
The liquid culture format of the assay provides a scalable framework for the testing of chemical, genetic, and environmental perturbations in C. elegans.
We present a scalable computing framework for the solution stochastic multiobjective optimization problems.
Here we present a scalable experimental framework for gathering real-time data resolving face-to-face social interactions with tunable spatial and temporal granularities.
In this paper, we present a scalable probabilistic framework to perform pre-posterior analysis in large infrastructure systems using either metric.
We present a scalable and accurate method for classifying protein ligand binding geometries in molecular docking.
Here we present a scalable approach and software for predicting miRNA-mRNA interactions and interaction sites, based on minimizing the free energy of duplex structure.
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