Victor A. Paludetto Magri is a postdoctoral researcher at the Center for Applied Scientific Computing (CASC) and a member of the hypre project, a team effort to develop a numerical library of high performance solvers/preconditioners for solving large sparse linear systems. He is currently working on the structured and semi-structured interfaces of the hypre library, which allow the usage of specialized multigrid solvers exploiting the physical problem structure.
Victor earned his Ph.D. in Civil Engineering, with an emphasis in numerical analysis, at the University of Padua (Italy) in 2019. He also holds an M.S. and a B.S. degree in Mechanical Engineering from the Federal University of Santa Catarina (Brazil) obtained in 2015 and 2013, respectively. His research interests are: multigrid methods, preconditioning techniques, and high performance computing.
A novel algebraic multigrid approach based on adaptive smoothing and prolongation for ill-conditioned systems. Victor A. Paludetto Magri, Andrea Franceschini, and Carlo Janna. SIAM Journal on Scientific Computing 2019 41:1, A190-A219. https://doi.org/10.1137/17M1161178
A robust adaptive algebraic multigrid linear solver for structural mechanics. Andrea Franceschini, Victor A. Paludetto Magri, Gianluca Mazzucco, Nicolò Spiezia, and Carlo Janna. Computer Methods in Applied Mechanics and Engineering, Volume 352, 1 August 2019, Pages 389-416. https://doi.org/10.1016/j.cma.2019.04.034
A robust multilevel approximate inverse preconditioner for symmetric positive definite matrices. Andrea Franceschini, Victor A. Paludetto Magri, Massimiliano Ferronato, and Carlo Janna. SIAM Journal on Matrix Analysis and Applications 2018 39:1, 123-147. https://doi.org/10.1137/16M1109503