Dr Alberto F. Martin Huertas
Areas of expertise
- High Performance Computing 460607
- Numerical And Computational Mathematics 4903
Research interests
- Computer solution of mechanistic systems of PDEs (Partial Differential Equations)
- Finite element discretization methods
- Scalable solution methods (multigrid, multilevel domain decomposition)
- Message-passing and multi-threaded parallel algorithms
- Scientific Machine Learning
- Innovative scientific software design patterns
- Open source scientific software
- Geophysical flows with application to atmosphere and ocean dynamics
Biography
After completing my PhD studies in Computational Science & Engineering (CSE) at Universitat Jaume I, Castellon, Spain, and a short 6-month post-doc at that university (EU-FP7 TEXT project), I moved to Barcelona (Spain) in March, 2011, where I did post-doctoral research until December, 2015. I worked for the Technical University of Catalonia (UPC) and the International Center for Numerical Methods in Engineering (CIMNE) funded by two competitive post-doctoral research grants (awarded by UPC and the Catalan gov, resp.) Besides, I participated in two strategic EU projects for CIMNE, the ERC Starting Grant COMFUS, to support basic research in scalable numerical algorithms for the HPC simulation of realistic fusion technology problems, and the EU-FP7 NUMEXAS project, towards the next generation of advanced numerical methods for future exascale computing infrastructures. In January, 2016 I was promoted as senior researcher at CIMNE (permanent contract), position which I held until November, 2019. In this period, I participated with a managing role in several high quality EU-funded projects, among which I highlight the FETHPC H2020 ExaQUte project. Then, early 2020, I moved to Monash University, Australia, where I was appointed as a research fellow in the School of Mathematics. Recently (Dec, 22), I have moved to the Australian National University, School of Computing, where I have been appointed as a senior research fellow (Level C) in the Computational Science research cluster.
Publications
- Badia, S, Hornkj�l, M, Khan, A et al. 2024, 'Efficient and reliable divergence-conforming methods for an elasticity-poroelasticity interface problem', Computers and Mathematics with Applications, vol. 157, pp. 173-194.
- Badia, S, Li, W & Martin Huertas, A 2023, 'Finite element interpolated neural networks for solving forward and inverse problems', Computer Methods in Applied Mechanics and Engineering, vol. 418, pp. 1-21.
- Badia, S, Martin Huertas, A & Verdugo, F 2022, 'GridapDistributed: a massively parallel finite element toolbox in Julia', The Journal of Open Source Software, vol. 7, no. 74, pp. 1-7.
- Badia, S, Caicedo, M, Martin Huertas, A et al. 2021, 'A robust and scalable unfitted adaptive finite element framework for nonlinear solid mechanics', Computer Methods in Applied Mechanics and Engineering, vol. 386.
- Badia, S, Martin Huertas, A, Neiva, E et al. 2021, 'The aggregated unfitted finite element method on parallel tree-based adaptive meshes', SIAM Journal on Scientific Computing, vol. 43, no. 3, pp. C203-C234.
- Badia, S, Martin Huertas, A, Neiva, E et al. 2020, 'A generic finite element framework on parallel tree-based adaptive meshes', SIAM Journal on Scientific Computing, vol. 42, no. 6, pp. C436-C468.
- Neiva, E, Chiumenti, M, Cervera, M et al. 2020, 'Numerical modelling of heat transfer and experimental validation in powder-bed fusion with the virtual domain approximation', Finite Elements in Analysis and Design, vol. 168.
- Badia, S & Martin Huertas, A 2020, 'A tutorial-driven introduction to the parallel finite element library FEMPAR v1.0.0', Computer Physics Communications, vol. 248.
- Badia, S, Martin Huertas, A & Nguyen, H 2019, 'Balancing domain decomposition by constraints associated with subobjects', Applied Mathematics Letters, vol. 87, pp. 93-100.
- Badia, S, Martin Huertas, A & Olm, M 2019, 'Scalable solvers for complex electromagnetics problems', Finite Elements in Analysis and Design, vol. 161, pp. 16-31.
- Olm, M, Badia, S & Martin Huertas, A 2019, 'Simulation of High Temperature Superconductors and experimental validation', Computer Physics Communications, vol. 237, pp. 154-167.
- Verdugo, F, Martin Huertas, A & Badia, S 2019, 'Distributed-memory parallelization of the aggregated unfitted finite element method', Computer Methods in Applied Mechanics and Engineering, vol. 357.
- Neiva, E, Badia, S, Martin Huertas, A et al. 2019, 'A scalable parallel finite element framework for growing geometries. Application to metal additive manufacturing', International Journal for Numerical Methods in Engineering, vol. 119, no. 11, pp. 1098-1125.
- Olm, M, Badia, S & Martin Huertas, A 2019, 'On a general implementation of h- and p-adaptive curl-conforming finite elements', Advances in Engineering Software, vol. 132, pp. 74-91.
- Badia, S, Martin Huertas, A & Nguyen, H 2019, 'Physics-Based Balancing Domain Decomposition by Constraints for Multi-Material Problems', Journal of Scientific Computing, vol. 79, no. 2, pp. 718-747.
- Badia, S, Verdugo, F & Martin Huertas, A 2018, 'The aggregated unfitted finite element method for elliptic problems', Computer Methods in Applied Mechanics and Engineering, vol. 336, pp. 533-553.
- Badia, S, Martin Huertas, A & Principe, J 2018, 'FEMPAR: An Object-Oriented Parallel Finite Element Framework', Archives of Computational Methods in Engineering, vol. 25, no. 2, pp. 195-271.
- Badia, S, Martin Huertas, A & Verdugo, F 2018, 'Mixed aggregated finite element methods for the unfitted discretization of the stokes problem', SIAM Journal on Scientific Computing, vol. 40, no. 6, pp. B1541-B1576.
- Badia, S, Martin Huertas, A & Principe, J 2016, 'Multilevel balancing domain decomposition at extreme scales', SIAM Journal on Scientific Computing, vol. 38, no. 1.
- Badia, S, Martin Huertas, A & Principe, J 2015, 'On the scalability of inexact balancing domain decomposition by constraints with overlapped coarse/fine corrections', Parallel Computing, vol. 50, pp. 1-24.
- Aliaga, J, Barreda, M, Dolz, M et al. 2014, 'Assessing the impact of the CPU power-saving modes on the task-parallel solution of sparse linear systems', Cluster Computing, vol. 17, no. 4, pp. 1335-1348.
- Badia, S, Martin Huertas, A & Planas, R 2014, 'Block recursive LU preconditioners for the thermally coupled incompressible inductionless MHD problem', Journal of Computational Physics, vol. 274, pp. 562-591.
- Martin Huertas, A, Reyes, R, Badia, R et al. 2014, 'Leveraging task-parallelism in message-passing dense matrix factorizations using SMPSs', Parallel Computing, vol. 40, no. 5-6, pp. 113-128.
- Badia, S, Martin Huertas, A & Principe, J 2014, 'A highly scalable parallel implementation of balancing domain decomposition by constraints', SIAM Journal on Scientific Computing, vol. 36, no. 2, pp. C190-C218.
- Badia, S, Martin Huertas, A & Principe, J 2013, 'Enhanced balancing Neumann-Neumann preconditioning in computational fluid and solid mechanics', International Journal for Numerical Methods in Engineering, vol. 96, no. 4, pp. 203-230.
- Badia, S, Martin Huertas, A & Principe, J 2013, 'Implementation and Scalability Analysis of Balancing Domain Decomposition Methods', Archives of Computational Methods in Engineering, vol. 20, no. 3, pp. 239-262.
- Aliaga, J, Bollhofer, M, Martin Huertas, A et al. 2012, 'Parallelization of multilevel ILU preconditioners on distributed-memory multiprocessors', 10th International Workshop on Applied Parallel Computing, ed. Kristjan Jonasson, Springer Verlag Berlin Heidelberg, Heidelberg, pp. 162-172.
- Aliaga, J, Dolz, M, Martin Huertas, A et al. 2012, 'Leveraging task-parallelism in energy-efficient ILU preconditioners', 2nd International Conference on Information and Communication on Technology 2012, ed. Axel Auweter, Dieter Kranzlmller, Amirreza Tahamtan, A Min Tjoa, Springer, Heidelberg, pp. 55-63.
- Aliaga, J, Bollhofer, M, Martin Huertas, A et al. 2011, 'Exploiting thread-level parallelism in the iterative solution of sparse linear systems', Parallel Computing, vol. 37, no. 3, pp. 183-202.
- Zafont, M, Martin Huertas, A, Igual, F et al. 2009, 'Fast development of dense linear algebra codes on graphics processors', 2009 International Symposium on Parallel and Distributed Processing (IPDPS), IEEE, Rome.
- Aliaga, J, Bollhofer, M, Martin Huertas, A et al. 2008, 'Design, tuning and evaluation of parallel multilevel ILU preconditioners', High Performance Computing for Computational Science - VECPAR 2008, ed. Jos M. Laginha M. Palma, Patrick R. Amestoy, Michel Dayd, Marta Mattoso, Springer Berlin Heidelberg, Heidelberg, pp. 314-327.