Publications
2016
- P. Sao, X. Liu, R. Vuduc, and X.S. Li, A Sparse Direct Solver for Distributed Memory Xeon Phi-accelerated Systems, 29th IEEE International Parallel & Distributed Processing Symposium (IPDPS), May 25-29, 2015, Hyderabad, India.
- F.-H. Rouet, X.S. Li, and P. Ghysels, A. Napov, A distributed-memory package for dense hierarchically semi-separable matrix computations using randomization, ACM Trans. Math. Software, Vol. 42, Issue 4, June 2016.
- <P. Ghysels, X.S. Li, F.-H Rouet, S. Williams, and A. Napov, An efficient multi-core implementation of a novel HSS-structured multifrontal solver using randomized sampling, SIAM J. Sci. Comput. 38-5 (2016), pp. S358-S384./li>
- P. Ghysels, C. Gorman, X.S. Li, F.-H. Rouet, STRUMPACK: Scalable Preconditioning using Low-Rank Approximations and Random Sampling, SC16 Poster, Nov 14-17, 2016, Salt Lake City./li>
- G. Pichon, M. Faverge, P. Ramet, and J. Roman. Reordering strategy for blocking optimization in sparse linear solvers. Research Report RR-8860, Inria Bordeaux Sud-Ouest ; LaBRI - Laboratoire Bordelais de Recherche en Informatique ; Bordeaux INP ; Université de Bordeaux, February 2016./li>
- K. Yang, H. Pouransari, Multilevel Hierarchical Solvers for Sparse Linear Systems, E. Darve, 7th International Conference on Computational Methods (ICCM2016), Berkeley, USA, 1st-4th August 2016. /li>
- E. Darve, “Hierarchical and Multigrid Solvers,” Presentation at the SIAM Annual Meeting, Westin Boston Waterfront, Boston, MA, July 11-15, 2016/li>
- P. Coulier and E. Darve, “The Inverse FMM as a Preconditioner for Dense Linear Systems,” Presentation at the SIAM Annual Meeting, Westin Boston Waterfront, Boston, MA, July 11-15, 2016/li>
- Y. Harness, E. Agullo, L. Giraud, E. Darve, “Multilevel Spectral Analysis of H-Matrices,” 9th International Workshop on Parallel Matrix Algorithms and Applications, Bordeaux, France, July 6-8 2016/li>
- E. Darve, H. Pouransari, C. Chen, E. Boman, S. Rajamanickam, “Parallel hierarchical solver,” 9th International Workshop on Parallel Matrix Algorithms and Applications, Bordeaux, France, July 6-8 2016/li>
- X.S. Li (Invited Plenary Presentation), “Accelerating Direct Linear Solvers with Hardware and Algorithmic Advances”, SIAM Conference on Applied Linear Algebra, Oct.26-30, 2015. Atlanta, Georgia/li>
- P. Ghysels, "Preconditioning using hierarchically semi-separable matrices and randomized sampling”, SIAM Conference on Parallel Processing for Scientific Computing, April 12-15, 2016, Paris, France./li>
- P. Ghysels, "Evaluation of a preconditioner using low-rank approximation and randomized sampling", 14th Copper Mountain Conference on Iterative Methods, March 20-25, 2016, Copper Mountain, CO/li>
- X.S. Li (Invited), “SuperLU and STRUMPACK: Sparse Direct Solver and Preconditioner”, Argonne Training Program on Extreme-Scale Computing (ATPESC), August 5, 2016/li>
- G. Pichon, E. Darve, M. Faverge, P. Ramet, and J. Roman. Sparse Supernodal Solver Using Hierarchical Compression. In Workshop on Fast Direct Solvers, Purdue, USA, November 2016./li>
- G. Pichon, E. Darve, M. Faverge, P. Ramet, and J. Roman. Exploiting H-Matrices in Sparse Direct Solvers. In SIAM Conference on Parallel Processing for Scientific Computing, Paris, France, April 2016./li>
- G. Pichon, E. Darve, M. Faverge, P. Ramet, and J. Roman. Exploiting H-Matrices in Sparse Direct Solvers. In SIAM Conference on Parallel Processing for Scientific Computing, Paris, France, April 2016./li>
2015
- E. Agullo, E. Darve, Y.l Harness, L. Giraud. H-matrix techniques for parallel hybrid solvers. In Workshop on Fast Direct Solvers, Jun 2015, Toulouse, France.
- A. Aminfar, E. Darve, M. Faverge, G. Pichon, P. Ramet, and J. Roman. Blocking strategy optimizations for sparse direct linear solver on heterogeneous architectures. In Sparse Days, Saint Girons, France, June 2015.
- A. Aminfar, E. Darve, M. Faverge, G. Pichon, P. Ramet, and J. Roman. On the use of H-Matrix Arithmetic in PaStiX: a Preliminary Study. In Workshop on Fast Solvers, Toulouse, France, June 2015.
- X.S. Li, P. Ghysels, F.-H. Rouet, “STRUMPACK - STRUctured Matrices PACKage”, Workshop on Fast Direct Solvers, June 24-26, 2015, Toulouse, France.
- X.S. Li, P. Ghysels, F.-H. Rouet, “Hierarchically parallel algorithms for linear systems with data-sparse (sub)matrices”, Sparse Days in St. Girons III, June 29 - July 2, 2015, St. Girons, France. Publications
- Aminfar, A., E. Darve. “A Fast Block Low-Rank Dense Solver with Applications to Finite-Element Matrices.” J. Comp. Phys. (2105), accepted for publication.
- P. Ghysels, X.S. Li, F.-H Rouet, S. Williams, and A. Napov, “An efficient multi-core implementation of a novel HSS-structured multifrontal solver using randomized sampling”, SISC Special Issue on CSE 2015. (submitted).
- F.-H. Rouet, X.S. Li, and P. Ghysels, “A distributed-memory package for dense hierarchically semi-separable matrix computations using randomization”, ACM Trans. Math. Software, December, 2014. (revised)
2014
- E. Agullo, B. Bramas, O. Coulaud, E. Darve, M. Messner, T. Takahashi , Task-based FMM for Multicore Architectures, SIAM Journal on Scientific Computing. vol 36, num 1, 2014
- Xavier Lacoste; Mathieu Faverge; Pierre Ramet; Samuel Thibault; George Bosilca , Taking advantage of hybrid systems for sparse direct solvers via task-based runtimes, HCW’2014 workshop of IPDPS, May 2014, Phoenix, United States
- S. Wang, X.S. Li, F.-H. Rouet, J. Xia, and M. de Hoop , A Parallel Geometric Multifrontal Solver Using Hierarchically Semiseparable Structures, ACM Trans. Math. Software, June 2014 (revised).
- E.G. Ng and B.W. Peyton , Fast implementation of the minimum local fill ordering heuristic, The Sixth SIAM Workshop on Combinatorial Scientific Computing, July 2014, Lyon, France.
- Li, J. Y., S. Ambikasaran, E. F. Darve, and P. K. Kitanidis , A Kalman filter powered by H2 matrices for quasi-continuous data assimilation problems, Water Resour. Res.. 2014, 50, doi:10.1002/2013WR014607.
- Aminfar, A., S. Ambikasaran, and E. Darve , A Fast Block Low-Rank Dense Solver with Applications to Finite-Element Matrices, 2014, submitted to SIAM Journal of Scientific Computing, arXiv preprint arXiv:1403.5337.
- A. Sivaram, and E. Darve . The Inverse Fast Multipole Method. arXiv preprint arXiv:1407.1572 (2014).
- S. Ambikasaran, J. Y. Li, P. K. Kitanidis and E. F. Darve , Large-scale stochastic linear inversion using hierarchical matrices, Journal of Computational Geosciences. 2014, 17:913927, DOI 10.1007/s10596-013-9364-0.
2013
- E. Agullo, B. Bramas, O. Coulaud, E. Darve, M. Messner, T. Takahashi,Task-based Parallelization of the Fast Multipole Method on NVIDIA GPUs and Multicore Processors, GTC 2013, March 18-21, San Jose, California
- E. Agullo, B. Bramas, O. Coulaud, E. Darve, M. Messner, T. Takahashi, Pipelining the Fast Multipole Method over a Runtime System , SIAM conference on Computational Science and Engineering,
minisymposium on Computational Challenges for Large Scale Heterogeneous Applications - E. Darve, M. Messner, M. Schanz and O. Coulaud, Optimizing the Black-box FMM for Smooth and Oscillatory Kernels
SIAM conference on Computational Science and Engineering,
minisymposium on Applications and New Developments in Fast-multipole and Tree-based Methods - E. Agullo, B. Bramas, O. Coulaud, E. Darve, M. Messner, T. Takahashi, Task-based FMM for Multicore Architectures, accepted in Sia Journal on Scientific Computing.
- A. Casadei, L. Giraud, P. Ramet, and J. Roman, Towards Domain Decomposition with Balanced Halo. In Workshop Celebrating 40 Years of Nested Dissection, Waterloo, Canada, July 2013.
- I. Yamazaki, X.S. Li, F.-H. Rouet, and B. Ucar, Partitioning, Ordering, and Load Balancing in a Hierarchically Parallel Hybrid Linear Solver, PDSEC Workshop at IPDPS, May 20-24, 2013. (38% acceptance)
- S. Wang, X.S. Li, J. Xia, and M. de Hoop, S. Wang, X.S. Li, J. Xia, and M.V. de Hoop, Efficient scalable algorithms for solving linear systems with hierarchically semiseparable matrices , SIAM J. Scientific Computing, 2013 (accepted)
- S. Wang, X.S. Li, F.-H. Rouet, J. Xia, and M. de Hoop, A Parallel Geometric Multifrontal Solver Using Hierarchically Semiseparable Structure , ACM Trans. Math. Software, June 2013 (submitted).
2012
- Optimized M2L Kernels for the Chebyshev Fast Multipole Method, M. Messner, B. Bramas, O. Coulaud, E. Darve. (submitted in JCP) (pdf)
- Matrices Over Runtime Systems at Exascale,Emmanuel Agullo, George Bosilca, Cédric Castagnède, Jack Dongarra, Hatem Ltaief, Stan Tomov. Poster at SC'12
- Pipelining the Fast Multipole Method over a Runtime System, E. Agullo, B. Bramas, O. Coulaud, E. Darve, M. Messner, T. Takahashi. RR-7981 (pdf)
- On a parallel hierarchical algebraic domain decomposition method for a large scale sparse linear solver E. Agullo, L. Giraud, A. Guermouche, Jean Roman. SIAM conference on Applied Linear Algebra