François-Henry Rouet - Personal home page

I am a researcher at Synopsys. My fields of interest are high-performance computing (distributed and shared memory computing, GPU programming...), numerical linear algebra (dense and sparse matrix algorithms, direct and iterative linear solvers, eigensolvers, low-rank methods...), and graph algorithms. I contribute to multiple simulation codes at Synopsys, in particular the multiphysics solver LS-DYNA. I also lead a group that focuses on linear solvers and provides software libraries to the Mechanical and Electronics Business Units of Synopsys.

Education & experience:

2019 to date: Researcher, Synopsys (previously Ansys, previously Livermore Software Technology Corporation).
2012-2015: Postdoctoral researcher, Scalable Solvers Group, Lawrence Berkeley National Laboratory.
2009-2012: Ph.D. in Applied Mathematics and Computer Science, INP Toulouse, France.
2006-2009: M.Sc. and Engineering degree in Applied Mathematics and Computer Science, INP Toulouse, France.

Journal articles:

C. Gorman, G. Chavez, P. Ghysels, T. Mary, F.-H. Rouet, X. S. Li, Robust and accurate stopping criteria for adaptive randomized sampling in matrix-free hierarchically semiseparable construction, SIAM Journal on Scientific Computing, 41(5):S61-S85, 2019. doi:10.1137/18M1194961
S. Li, F.-H. Rouet, J. Liu, C. Huang, X. Gao, X. Chi, An efficient hybrid tridiagonal divide-and-conquer algorithm on distributed memory architectures, Journal of Computational and Applied Mathematics, 344:512-520, 2018. doi:10.1016/J.CAM.2018.05.051
A. B. Manic, A. P. Smull, F.-H. Rouet, X. S. Li, B. M. Notaros, Efficient scalable parallel higher order MoM-SIE method with hierarchically semiseparable structures for 3D scattering, IEEE Transactions on Antennas and Propagation, 65(5):2467-2478, 2017. doi:10.1109/TAP.2017.2673660
P. Ghysels, X. S. Li, F.-H. Rouet, S. Williams, A. Napov, An efficient multi-core implementation of a novel HSS-structured multifrontal solver using randomized sampling, SIAM Journal on Scientific Computing, 38(5):S358-S384, 2016. doi:10.1137/15M1010117
F.-H. Rouet, X. S. Li, P. Ghysels, A. Napov, A distributed-memory package for dense Hierarchically Semi-Separable matrix computations using randomization, ACM Transactions on Mathematical Software, 42(4):35, 2016. doi:10.1145/2930660
E. Agullo, P. R. Amestoy, A. Buttari, A. Guermouche, J.-Y. L’Excellent, F.-H. Rouet, Robust memory-aware mappings for parallel multifrontal factorizations, SIAM Journal on Scientific Computing, 38(3):C256-C279, 2016. doi:10.1137/130938505
S. Wang, X. S. Li, F.-H. Rouet, J. Xia, M. V. de Hoop, A parallel geometric multifrontal solver using hierarchically semiseparable structure, ACM Transactions on Mathematical Software, 42(3):21, 2016. doi:10.1145/2830569
J. R. Jones, F.-H. Rouet, K. V. Lawler, E. Vecharynski, K. Z. Ibrahim, S. Williams, B. Abeln, C. Yang, C. W. McCurdy, D. J. Haxton, X. S. Li, T. N. Rescigno, An efficient basis set representation for calculating electrons in molecules, Molecular Physics, 114(13):2014-2028, 2016. doi:10.1080/00268976.2016.1176262
P. R. Amestoy, I. S. Duff, J.-Y. L’Excellent, F.-H. Rouet, Parallel computation of entries of A^-1, SIAM Journal on Scientific Computing, 38:C268–C284, 2015. doi:10.1137/120902616
D. J. Haxton, K. V. Lawler, F.-H. Rouet, J. R. Jones, K. Z. Ibrahim, S. Williams, E. Vecharynski, C. Yang, X. S. Li, B. Abeln, T. N. Rescigno, C. W. McCurdy, Implementation of fixed-nuclei polyatomic MCTDHF capability and the future with nuclear motion, Journal of Physics: Conference Series, 635:112086, 2015. doi:10.1088/1742-6596/635/11/112086
L. Bouchet, P. R. Amestoy, A. Buttari, F.-H. Rouet, M. Chauvin, INTEGRAL/SPI data segmentation to retrieve sources intensity variations, Astronomy & Astrophysics, 555:A52, 2013. doi:10.1051/0004-6361/201219605
L. Bouchet, P. R. Amestoy, A. Buttari, F.-H. Rouet, M. Chauvin, Simultaneous analysis of large INTEGRAL/SPI datasets: optimizing the computation of the solution and its variance using sparse matrix algorithms, Astronomy and Computing, 1:59–69, 2013. doi:10.1016/J.ASCOM.2013.03.002
P. R. Amestoy, I. S. Duff, J.-Y. L’Excellent, Y. Robert, F.-H. Rouet, B. Uçar, On computing inverse entries of a sparse matrix in an out-of-core environment, SIAM Journal on Scientific Computing, 34:1975–1999, 2012. doi:10.1137/100799411

Conference papers:

W. Aboumrad, D. Zhu, C. Girotto, F.-H. Rouet, J. Jojo, R. F. Lucas, J. Pathak, A. Kaushik, M. Roetteler, Accelerating large-scale linear algebra using variational quantum imaginary time evolution, IEEE International Conference on Quantum Computing and Engineering (QCE), 2025. doi:10.1109/QCE65121.2025.00214
D. Bielich, R. Grimes, F.-H. Rouet, Advancements in eigenvalue technology, Proceedings of the 17th International LS-DYNA Conference, 2024.
Y. Huang, T. Littlewood, F.-H. Rouet, Z. Cui, U. Basu, Fluid-added mass modeling in LS-DYNA and its application in structural vibration analysis, Proceedings of the 14th European LS-DYNA Conference, 2023.
R. F. Lucas, J. Cong, F. Lopez, F.-H. Rouet, L. Song, Speeding up LS-DYNA Implicit with mixed precision, low-rank approximations, and accelerators, Proceedings of the 14th European LS-DYNA Conference, 2023.
R. Grimes, F.-H. Rouet, New eigensolver technology for LS-DYNA, Proceedings of the 14th European LS-DYNA Conference, 2023.
S. Kolak, H. Mohammadbagherpoor, K. Daloukas, K. Kafousas, F.-H. Rouet, Y. Koutsoyannopoulous, N. Earnest-Noble, R. F. Lucas, Evaluating quantum algorithms for linear solver workflows, International Conference on High Performance Computing (ISC), 2023. doi:10.1007/978-3-031-40843-4_47
H. Wei, C. T. Wu, D. Lyu, W. Hu, F.-H. Rouet, K. Zhang, P. Ho, H. Oura, M. Nishi, T. Naito, L. Shen, Multiscale simulation of short-fiber-reinforced composites: from computational homogenization to mechanistic machine learning in LS-DYNA, Proceedings of the 13th European LS-DYNA Conference, 2021.
F.-H. Rouet, C. Ashcraft, J. Dawson, R. Grimes, E. Guleryuz, S. Koric, R. F. Lucas, J. S. Ong, T. A. Simons, T.-T. Zhu, Scalability challenges of an industrial implicit finite element code, IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020. doi:10.1109/IPDPS47924.2020.00059
C. Ashcraft, R. G. Grimes, R. F. Lucas, F.-H. Rouet, New generation iterative solvers in LS-DYNA, Proceedings of the 16th International LS-DYNA Conference, 2020.
N. Meng, R. G. Grimes, R. F. Lucas, F.-H. Rouet, J. S. Ong, A study of LS-DYNA Implicit running the Rolls-Royce large representative engine model with Intel Optane memory technology, Proceedings of the 16th International LS-DYNA Conference, 2020.
T. A. Simons, J. S. Ong, R. F. Lucas, F.-H. Rouet, R. G. Grimes, E. Guleryuz, S. Koric, T.-T. Zhu, J. Dawson, Reducing the time-to-solution for finite element analysis of gas turbine engines, Proceedings of the AIAA Propulsion and Energy Forum and Exposition, 2019. doi:10.2514/6.2019-4456
C. Ashcraft, J. Dawson, R. G. Grimes, E. Guleryuz, S. Koric, R. F. Lucas, J. S. Ong, F.-H. Rouet, T. A. Simons, T.-T. Zhu, Running jet engine models on thousands of processors with LS-DYNA Implicit, Proceedings of the 12th European LS-DYNA Conference, 2019.
G. Blankenhorn, J. S. Ong, J. Wang, R. G. Grimes, F.-H. Rouet, Using a Rolls-Royce representative engine model to evaluate the scalability of LS-DYNA thermal solvers, Proceedings of the 12th European LS-DYNA Conference, 2019.
G. Blankenhorn, B. Gyesi, S. Malcolm, I. Gandikota, R. G. Grimes, F.-H. Rouet, Validation of a thermal radiation problem using *BOUNDARY_RADIATION_ENCLOSURE, Proceedings of the 12th European LS-DYNA Conference, 2019.
P. L'Eplattenier, C. Ashcraft, F.-H. Rouet, C. Weisbecker, S. Bateau-Meyer, New methods to speed-up the boundary element method in LS-DYNA, 8th International Conference on High Speed Forming, 2018. doi:10.17877/DE290R-18967
C. Ashcraft, J. Dawson, R. G. Grimes, E. Guleryuz, S. Koric, R. F. Lucas, J. S. Ong, F.-H. Rouet, T. A. Simons, T.-T. Zhu, Increasing the scale of LS-DYNA implicit analysis, Proceedings of the 15th International LS-DYNA Conference, 2018.
P. Ghysels, X. S. Li, C. Gorman, F.-H. Rouet, A robust parallel preconditioner for indefinite systems using hierarchical matrices and randomized sampling, IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2017. doi:10.1109/IPDPS.2017.21
R. F. Lucas, R. G. Grimes, F.-H. Rouet, C. Weisbecker, Improving LSTC's multifrontal linear equation solver, Proceedings of the 11th European LS-DYNA Conference, 2017.
R. G. Grimes, R. F. Lucas, C. Weisbecker, C. Ashcraft, F.-H. Rouet, J. Anton, Enhancements to implicit mechanics, Proceedings of the 11th European LS-DYNA Conference, 2017.
B. M. Notaros, A. B. Manic, A. Smull, S. Manic, X. S. Li, F.-H. Rouet, Multiscale electromagnetic modeling using double-higher-order quadrilateral meshes and parallel MoM-SIE direct solutions, IEEE International Symposium on Antennas and Propagation, 2016. doi:10.1109/APS.2016.7695826
B. M. Notaros, A. B. Manic, X. S. Li, F.-H. Rouet, Controlling the accuracy of double higher order surface integral equation modeling by relative tolerance for matrix compression, IEEE/ACES International Conference on Wireless Information Technology and Systems (ICWITS) and Applied Computational Electromagnetics (ACES), 2016. doi:10.1109/ROPACES.2016.7465369
A. B. Manic, F.-H. Rouet, X. S. Li, B. M. Notaros, Efficient EM scattering analysis based on MoM, HSS direct solver, and RRQR decomposition, IEEE International Symposium on Antennas and Propagation, 2015. doi:10.1109/APS.2015.7305219
M. Baboulin, X. S. Li, F.-H. Rouet, Using random butterfly transformations to avoid pivoting in sparse direct methods, VECPAR 2014, Lecture Notes in Computer Science, Springer, 8969:135–144, 2015. doi:10.1007/978-3-319-17353-5_12
P. R. Amestoy, J.-Y. L’Excellent, F.-H. Rouet, M. W. Sid-Lakhdar, Modeling 1D distributed-memory dense kernels for an asynchronous multifrontal sparse solver, VECPAR 2014, Lecture Notes in Computer Science, Springer, 8969:156–172, 2015. doi:10.1007/978-3-319-17353-5_14
E. Agullo, P. R. Amestoy, A. Buttari, A. Guermouche, G. Joslin, J.-Y. L’Excellent, X. S. Li, A. Napov, F.-H. Rouet, M. Sid-Lakhdar, S. Wang, C. Weisbecker, I. Yamazaki, Recent advances in sparse direct solvers, 22nd Conference on Structural Mechanics in Reactor Technology, 2013. uri:1840.20/32856
I. Yamazaki, X. S. Li, F.-H. Rouet, B. Uçar, On partitioning and reordering problems in a hierarchically parallel hybrid linear solver, PDSEC Workshop of the IEEE International Parallel and Distributed Processing Symposium, 2013. doi:10.1109/IPDPSW.2013.170
K. Kaya, F.-H. Rouet, B. Uçar, On partitioning problems with complex objectives, EuroPar 2011, Lecture Notes in Computer Science, Springer, 7155:334–344, 2012. doi:10.1007/978-3-642-29737-3_38

Presentations:

F.-H. Rouet, C. Ashcraft, P. L'Eplattenier, A mixed sparse-dense BLR solver for electromagnetics, SIAM Conference on Parallel Processing for Scientific Computing (PP24), 2024.
F.-H. Rouet, MUMPS-BLR inside a preconditioned eigensolver, MUMPS User Days, 2023.
P. R. Amestoy, A. Buttari, J.-Y. L'Excellent, T. Mary, F.-H. Rouet, Using block low-rank techniques for large finite element industrial applications, SIAM Conference on Parallel Processing for Scientific Computing (PP20), 2020.
C. Ashcraft, R. G. Grimes, R. F. Lucas, F.-H. Rouet, C. Weisbecker, Variable clustering techniques for low-rank factorization-based linear solvers and preconditioners, SIAM Conference on Parallel Processing for Scientific Computing (PP18), 2018.
C. Ashcraft, L. Cambier, E. Darve, R. G. Grimes, Y. Huang, P. L'Eplattenier, R. F. Lucas, F.-H. Rouet, C. Weisbecker, Z. Xu, Using Block Low-Rank techniques for industrial problems, Joint Mathematics Meeting (JMM18), 2018.
C. Ashcraft, F.-H. Rouet, LS-GPart: a global, distributed ordering library, Sparse Days, 2017.
C. Ashcraft, F.-H. Rouet, A global, distributed ordering library, SIAM Workshop on Combinatorial Scientific Computing (CSC16), 2016.
J. Anton, C. Ashcraft, P. L'Eplattenier, R. G. Grimes, F.-H. Rouet, C. Weisbecker, Using low-rank approximation techniques for engineering problems, 7th International Conference on Computational Methods (ICCM2016), 2016.
P. R. Amestoy, C. Ashcraft, A. Buttari, P. Ghysels, J.-Y. L'Excellent, X. S. Li, T. Mary, F.-H. Rouet, C. Weisbecker, A comparison of parallel rank-structured solvers, SIAM Conference on Parallel Processing for Scientific Computing (PP16), 2016.
P. R. Amestoy, C. Ashcraft, A. Buttari, P. Ghysels, J.-Y. L'Excellent, X. S. Li, T. Mary, F.-H. Rouet, C. Weisbecker, A comparison of different low-rank approximation techniques, SIAM Conference on Applied Linear Algebra (LA15), 2015.
P. Ghysels, F.-H. Rouet, X. S. Li, Implementation of a fast multifrontal solver using randomized HSS compression, SIAM Conference on Computational Science and Engineering (CSE15), 2015.
F.-H. Rouet, X. S. Li, M. Baboulin, Employing random butterfly transformation in sparse direct solvers, Sparse Days, 2014.
X. S. Li, A. Napov, F.-H. Rouet, Designing multifrontal solvers using hierarchically semiseparable structures, SIAM Conference on Parallel Processing for Scientific Computing (PP14), 2014.
E. Agullo, P. R. Amestoy, A. Buttari, A. Guermouche, G. Joslin, J.-Y. L’Excellent, X. S. Li, A. Napov, F.-H. Rouet, M. Sid-Lakhdar, S. Wang, C. Weisbecker, I. Yamazaki, Recent Advances in Sparse Direct Solvers, 22nd Conference on Structural Mechanics in Reactor Technology, 2013.
I. Yamazaki, X. S. Li, F.-H. Rouet, B. Uçar, On partitioning and reordering problems in a hierarchically parallel hybrid linear solver, PDSEC Workshop of the IEEE International Parallel and Distributed Processing Symposium, 2013.
E. Agullo, P. R. Amestoy, A. Buttari, A. Guermouche, J.-Y. L’Excellent, F.-H. Rouet, Robust memory-aware mappings for parallel multifrontal factorizations, SIAM Conference on Parallel Processing for Scientific Computing (PP12), 2012.
P. R. Amestoy, I. S. Duff, J.-Y. L’Excellent, F.-H. Rouet, B. Uçar, Parallel computation of entries of A⁻¹, SIAM Workshop on Combinatorial Scientific Computing (CSC11), 2011.
K. Kaya, F.-H. Rouet, B. Uçar, On partitioning problems with complex objectives, EuroPar 2011.
P. R. Amestoy, F.-H. Rouet, B. Uçar, On computing arbitrary entries of the inverse of a matrix, SIAM Workshop on Combinatorial Scientific Computing (CSC09), 2009.

Posters:

P. Ghysels, X. S. Li, C. Gorman, F.-H. Rouet, STRUMPACK: scalable preconditioning using low-rank approximations and random sampling, Supercomputing (SC16), 2016.
X. S. Li, F.-H. Rouet, P. Ghysels, P. Sao, R. Vuduc, Sparse direct solvers and preconditioners on manycore systems, SIAM Conference on Computational Science and Engineering (CSE15), 2015.

François-Henry Rouet
Synopsys
Phone: +1 925 245 4514
E-mail: frouet at synopsys dot com