Alberto F. Martín

Dr. Alberto F. Martín is a researcher at the International Center for Numerical Methods in Engineering (CIMNE), at the Technical University of Catalunya (UPC), in Barcelona, Spain. His background includes a 5-year bachelor degree in Computer Science, and a doctoral degree in Computer Science, the latter with specialization on high performance scientific computing, under the supervision of Profs. Enrique S. Quintana-Ortí and José I. Aliaga. With more than six years of experience in the design and development of scalable parallel preconditioning codes for sparse linear systems arising from the finite element discretization of Partial Differential Equations (PDEs), he is currently an active developer of FEMPAR since he joined the Large Scale Computational Physics (LSCP) team on 2011. His main research activities are particularly focused on the following topics:
  • Parallel scientific computing
  • Multi-threaded and message-passing algorithms for sparse numerical linear algebra
  • Parallel multilevel preconditioning and iterative solution of sparse linear systems
  • Large-scale implementation of domain decomposition methods
  • Parallel programming models, libraries and software for current multicore-based massively parallel computers
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Teaching material

I have developed (together with Prof. S. Badia) PFDEADDS. PFDEADDS is a parallel MPI/OpenMP software Framework, released under the GNU GPL license version 3, for the Development of, Experimentation with Academic implementations of Domain Decomposition Solvers. This is a very valuable teaching tool for hands-on sessions for advanced master and post-graduate courses in finite elements and fast domain decomposition solvers, as it allows to familiarize with practical concepts related to this topic in an easy and progressive way. The framework is supplied with a rich set of examples, experimentation scripts, and documentation. This tool and accompanying material has resulted from our experience in teaching an advanced course on domain decomposition solvers in the framework of the official UPC Master on Numerical Methods in Engineering (MNME).
[PFDEADDS source code]    [PFDEADDS accompanying slides]