I am a postdoctoral researcher in the numerical analysis group at the STFC Rutherford Appleton Laboratory. I finished my PhD in 2015 at the Université Paul Sabatier Toulouse III on Task based multifrontal solvers for heterogeneous architectures and it was conducted in the context of the qr_mumps solver under the supervision of Alfredo Buttari.

My research interests lie in the domain of numerical linear algebra and high performance computing. I am particularly interested in the development of direct solvers for solving large sparse linear systems of equations. I am currently involved in the NLAFET project, a EU-funded Horizon 2020 project, aiming at improving the performance and scalability of linear algebra software for the emerging extreme-scale systems.

• Sparse linear algebra
• High performance computation
• GPU computing

ORCID id: 0000-0002-8479-5749

Refereed articles:

1. Implementing multifrontal sparse solvers for multicore architectures with sequential task flow runtime systems
   E Agullo, A Buttari, A Guermouche and F Lopez
   ACM Trans Math Software. 43, no. 2 (2016): 1-22, doi:10.1145/2898348.

Conference proceedings:

1. Task-Based Multifrontal QR Solver for GPU-Accelerated Multicore Architectures
   E Agullo, A Buttari, A Guermouche and F Lopez
   2015 IEEE 22nd International Conference on High Performance Computing (HiPC)

2. Fast and Accurate Simulation of Multithreaded Sparse Linear Algebra Solvers
   L. Stanisic, E Agullo, A Buttari, A Guermouche, Arnaud R Legrand, F Lopez and Brice Videau
   2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS)

3. Multifrontal QR Factorization for Multicore Architectures over Runtime Systems
   E Agullo, A Buttari, A Guermouche and F Lopez
   Euro-Par'13 Proceedings of the 19th international conference on Parallel Processing

Preprints & Technical reports:

1. Experiments with sparse Cholesky using a parametrized task graph implementation
   I Duff and F Lopez
   RAL Technical Reports RAL-TR-2017-006 (2017), Rutherford Appleton Laboratory, Chilton, England. (PDF)

2. Experiments with sparse Cholesky using a sequential task-flow implementation
   I Duff, J Hogg and F Lopez
   RAL Technical Reports RAL-TR-2016-016 (2016), Rutherford Appleton Laboratory, Chilton, England. (PDF)

• qr_mumps qr_mumps is a software package for the solution of sparse, linear systems on multicore computers.