5 citations · 12 across the 5 of their papers we have counts for
5 papers
Accelerating a restarted Krylov method for matrix functions with randomization
Nicolas L. Guidotti, Per-Gunnar Martinsson, Juan A. Acebrón +1
Many scientific applications require the evaluation of the action of a matrix function on a vector, and Krylov subspace methods are the most common ones for this task. Since the or…
Accelerating Particle-Mesh Algorithms with FPGAs and OmpSs@OpenCL
Nicolas Lee Guidotti
Due to its flexible architecture, FPGAs support unique, deep hardware pipeline implementations for accelerating HPC applications. However, these devices are quite new in the HPC sp…
A Fast Monte Carlo algorithm for evaluating matrix functions with application in complex networks
Nicolas L. Guidotti, Juan A. Acebrón, José Monteiro
We propose a novel stochastic algorithm that randomly samples entire rows and columns of the matrix as a way to approximate an arbitrary matrix function using the power series expa…
A Stochastic Method for Solving Time-Fractional Differential Equations
Nicolas L. Guidotti, Juan Acebrón, José Monteiro
We present a stochastic method for efficiently computing the solution of time-fractional partial differential equations (fPDEs) that model anomalous diffusion problems of the subdi…
Particle-In-Cell Simulation using Asynchronous Tasking
Nicolas Guidotti, Pedro Ceyrat, João Barreto +5
Recently, task-based programming models have emerged as a prominent alternative among shared-memory parallel programming paradigms. Inherently asynchronous, these models provide na…