Ichitaro Yamazaki, Jakub Kurzak, Panruo Wu, Mawussi Zounon, Jack J. Dongarra: "Symmetric Indefinite Linear Solver Using OpenMP Task on Multicore Architectures". IEEE Trans. Parallel Distrib. Syst. 29(8): 1879-1892 (2018)
- Ph.D in Computer Science, University of Bordeaux, 2015
- M.S. in Computer Science, University of Bordeaux, 2011
- M.Eng. in Software Engineering, ENSEIRB-MATMECA, 2011
- 2015–Present: Postdoctoral Research Associate
- 2016–Present: Teaching Assistant
- The University of Manchester
- 2011–2015: Research Assistant
- 2012–2014: Teaching Assistant
A Guide For Achieving High Performance With Very Small Matrices On GPU: A case Study of Batched LU and Cholesky Factorizations
A. Haidar, A. Abdelfattah, M. Zounon, S. Tomov and J. Dongarra, "A Guide For Achieving High Performance With Very Small Matrices On GPU: A case Study of Batched LU and Cholesky Factorizations," in IEEE Transactions on Parallel and Distributed Systems, vol. PP, no. 99, pp. 1-1. doi: 10.1109/TPDS.2017.2783929.
Dongarra, J., Hammarling, S., Higham, N. J., Relton, S. D., & Zounon, M. (2017, August). Optimized batched linear algebra for modern architectures. In European Conference on Parallel Processing (pp. 511-522). Springer, Cham.
Jack Dongarra, Sven Hammarling, Nicholas J. Higham, Samuel D. Relton, Pedro Valero-Lara, Mawussi Zounon, The Design and Performance of Batched BLAS on Modern High-Performance Computing Systems, Procedia Computer Science, Volume 108, 2017, Pages 495-504, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2017.05.138.
Agullo E. et al. (2017) Hard Faults and Soft-Errors: Possible Numerical Remedies in Linear Algebra Solvers. In High Performance Computing for Computational Science – VECPAR 2016. VECPAR 2016. Lecture Notes in Computer Science, vol 10150. Springer, Cham.
E. Agullo, L. Giraud, P. Salas, and M. Zounon. Interpolation-restart strategies for resilient eigensolvers. SIAM Journal on Scientific Computing, 38(5):C560–C583, 2016.
Agullo, E., Giraud, L., Guermouche, A., Roman, J., and Zounon, M. (2016) Numerical recovery strategies for parallel resilient Krylov linear solvers. Numer. Linear Algebra Appl., 23: 888–905. doi: 10.1002/nla.2059.
E. Agullo, L. Giraud and M. Zounon, On the Resilience of Parallel Sparse Hybrid Solvers, 2015 IEEE 22nd International Conference on High Performance Computing (HiPC), Bangalore, 2015, pp. 75-84. doi: 10.1109/HiPC.2015.9.
Birds of Feather talk at SC17, Denver, Colorado, USA
Conference proceedings talk at Euro-Par 2017, Santiago de Compostela, Spain
Conference proceedings talk at International Conference on Computational Science, Zurich, Switzerland
Minisymposium talk at SIAM Conference on Computational Science and Engineering, Atlanta Georgia, USA
Conference talk at IMA Conference on Numerical Linear Algebra and Optimization, Birmingham, UK
Workshop talk talk at 1st Workshop on Batched, Reproducible, and Reduced Precision BLAS, Knoxville, Tennessee, USA
Conference proceedings talk at 22nd IEEE International Conference on High Performance Computing, Bengaluru, India
Workshop talk at International Workshop on Parallel Matrix Algorithms and Applications, Lugano, Switzerland
Workshop talk at Sparse Days 2013, Toulouse, France
Minisymposium talk at SIAM conference on Applied Linear Algebra, Valencia, Spain