Alberto F. Martin

Dr

  • 325, Level 3, 9 Rainforest walk, Clayton campus, 28

    3800 Melbourne

20072020

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Personal profile

Biography

Alberto F. Martin is currently working as a research fellow at the School of Mathematics, Monash University, since January 2020. He obtained his PhD in Computer Science (with specialization in Computational Science) at Universitat Jaume I (UJI, Castellon, Spain) in 2010. Afterwards, in 2011, he moved to Barcelona, where he has developed the bulk of his research career. During this period, he worked for the International Center for Numerical Methods in Engineering (CIMNE, Barcelona, Spain) and the Technical University of Catalonia (UPC, Barcelona, Spain), where he was appointed as a senior researcher and adjoint professor in 2015 and 2014, resp.

Alberto F. Martin's research is framed within the broad field of Computational Science and Engineering (CSE), with a particular focus on the numerical solution of Partial Differential Equations (PDEs).  As a researcher within this field, he has acquired expertise in the development of advanced Finite Element (FE) discretization schemes and solution methods for the High Performance Computing (HPC) modeling of large-scale problems of scientific and engineering relevance, while putting special emphasis on scientific software design innovations as a key output of his research. His contributions so far to this field span:

  1. The design and mathematical analysis of new, application-tailored FE discretizations and solution methods, or innovative algorithmic adaptations of state-of-the-art ones towards different goals.
  2. The efficient parallel implementation of these in the form of HPC software packages provided to the general CSE community.
  3. The application of the advances of 1. and 2. for the realistic computer simulation of real-world challenges in the sciences and engineering, in collaboration with application-problem specialists, and/or private sector companies.

Alberto F. Martin is co-author (together with Profs. S. Badia and J. Principe) and essential contributor to FEMPAR: Finite Element Multiphysics PARallel scientific computing software. In a nutshell, FEMPAR is a >300K lines of Fortran200X code long, parallel MPI+OpenMP object-oriented framework for the development of FE solvers for multiphysics problems governed by systems of PDEs. FEMPAR has been used in more than 30x papers published in Q1-ranked JCR journals, covering a wide range of discretization techniques, application problems, and scientific disciplines. FEMPAR is released for free under the terms of the open source GNU GPLv3 license. FEMPAR has been included in the High-Q Club of the most scalable European codes (maintained by Juelich Supercomputing Center), as it has been able to attain perfect weak scalability up to 458,672 cores in JUQUEEN while solving up to 60 billion unknowns.

I am also contributor to Gridap.jl, and co-author of GridapDistributed.jl, its parallel version, which provide a new FE framework written in Julia for the numerical simulation of models governed by PDEs, from desktop/laptops to supercomputers. Gridap.jl exploits the modern features of the Julia language in order to strike a remarkable balance among performance and generality via appropriate mathematically-driven software abstractions.

External positions

Senior Researcher, CIMNE – Centre Internacional de Mètodes Numèrics en Enginyeria

Dec 2015Nov 2019

Adjoint professor, Universitat Politecnica de Catalunya (Polytechnic University of Catalonia)

Feb 2014Sep 2019

Post-doc researcher, Universitat Politecnica de Catalunya (Polytechnic University of Catalonia)

Jul 2012Nov 2015

Post-doc researcher, CIMNE – Centre Internacional de Mètodes Numèrics en Enginyeria

Mar 2011Jul 2014

Graduate Research Assistant, Jaume I University

Feb 2006Jul 2010

Research area keywords

  • Computational Science and Engineering
  • Partial Differential Equations
  • Preconditioning for Large Scale Linear Systems
  • Scalable Domain Decomposition Preconditioners
  • High Performance Scientific Computing
  • Software Design and Implementation of Large Scale Scientific Applications
  • Open Source Scientific Software

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