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A complete and efficient CUDA-sharing solution for HPC clusters

Peña Monferrer, Antonio José; Reaño González, Carlos; Silla Jiménez, Federico; Mayo Gual, Rafael; Quintana-Orti, Enrique S.; Duato Marín, José Francisco (Elsevier, 2014-12)

In this paper we detail the key features, architectural design, and implementation of rCUDA, an advanced framework to enable remote and transparent GPGPU acceleration in HPC clusters. rCUDA allows decoupling GPUs from ...
Fast Band--Krylov Eigensolver for Macromolecular Functional Motion Simulation on Multicore Architectures and Graphics Processors

Aliaga, Jose I.; Alonso Jordá, Pedro; Badía Contelles, José Manuel; Chacon, Pablo; Davidovic, Davo; Lopez-Blanco, Jose R.; Quintana-Orti, Enrique S (Elsevier, 2016-03-15)

We introduce a new iterative Krylov subspace-based eigensolver for the simulation of macromolecular motions on desktop multithreaded platforms equipped with multicore processors and, possibly, a graphics accelerator ...
Machine learning for optimal selection of sparse triangular system solvers on GPUs

Dufrechou, Ernesto; Ezzatti, Pablo; Freire, Manuel; Quintana-Ortí, Enrique S. (Elsevier, 2021-12)

[EN] Many numerical algorithms for science and engineering applications require the solution of sparse triangular linear systems (sptrsv) as their most costly stage. For this reason, considerable research has been dedicated ...

Mostrando ítems 1-3 de 3