François-Henry Rouet

I am a research scientist at Ansys. My fields of interest are parallel computing, sparse matrix computations, and graph algorithms. I collaborate to the MUMPS and STRUMPACK projects.

Education & experience:

• 2019-: Research scientist, Ansys.
• 2015-2019: Research scientist, 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:

• 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, 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
Ansys, Inc.
Phone: +1 925 245 4514
E-mail: francois dash henry dot rouet at ansys dot com