Leonardo Ramírez-Guzmán

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We have developed a novel analytic capability for scientists and engineers to obtain insight from ongoing large-scale parallel unstructured mesh simulations running on thousands of processors. The breakthrough is made possible by a new approach that visualizes partial differential equation (PDE) solution data simultaneously while a parallel PDE solver(More)
Traditionally, parallel supercomputing has focused on the inner kernel of scientific simulations: the solver. The front and back ends of the simulation pipeline—problem description and interpretation of the output—have taken a back seat to the solver when it comes to attention paid to scalability and performance, and are often relegated to offline,(More)
State-of-the-art numerical solvers in Earth Sciences produce multi ter-abyte datasets per execution. Operating on increasingly larger datasets becomes challenging due to insufficient data bandwidth. Queries result in difficult to handle I/O access patterns. BEMC is a new mechanism that allows querying and processing wavefields in the compressed(More)
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