Science disciplines are experiencing a data avalanche. As a result, scientific research is limited by data analysis and visualization capabilities. We have been working closely wi...
Kai Li, Matthew A. Hibbs, Grant Wallace, Olga G. T...
We present a modular and scalable approach for automatically extracting actual performance information from a set of FPGA-based architecture topologies. This information is used d...
Douglas Densmore, Adam Donlin, Alberto L. Sangiova...
Compositional performance analysis iteratively alternates local scheduling analysis techniques and output event model propagation between system components to enable performance a...
We present a new methodology for generating and adapting octree meshes for terascale applications. Our approach combines existing methods, such as parallel octree decomposition and...
Algorithms based on simulating stochastic flows are a simple and natural solution for the problem of clustering graphs, but their widespread use has been hampered by their lack of...