Visualitza Departament: Enginyeria i Ciència dels Computadors per paraule clau "Graphics processors"
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A complete and efficient CUDA-sharing solution for HPC clusters
Elsevier (2014)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 ... -
A fast band–Krylov eigensolver for macromolecular functional motion simulation on multicore architectures and graphics processors
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 (GPU). ... -
A mixed-precision algorithm for the solution of Lyapunov equations on hybrid CPU–GPU platforms
Elsevier (2011)We describe a hybrid Lyapunov solver based on the matrix sign function, where the intensive parts of the computation are accelerated using a graphics processor (GPU) while executing the remaining operations on a general-purpose ... -
Solving dense generalized eigenproblems on multi-threaded architectures
Elsevier (2012-07)We compare two approaches to compute a fraction of the spectrum of dense symmetric definite generalized eigenproblems: one is based on the reduction to tridiagonal form, and the other on the Krylov-subspace iteration. ... -
The FLAME approach: From dense linear algebra algorithms to high-performance multi-accelerator implementations
Elsevier (2012)Parallel accelerators are playing an increasingly important role in scientific computing. However, it is perceived that their weakness nowadays is their reduced “programmability” in comparison with traditional general-purpose ... -
Using graphics processors to accelerate the computation of the matrix inverse
Springer Verlag (2011)We study the use of massively parallel architectures for computing a matrix inverse. Two different algorithms are reviewed, the traditional approach based on Gaussian elimination and the Gauss-Jordan elimination alternative, ...