Publications



2016

  1. 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.
  2. 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.
  3. <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>
  4. 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>
  5. 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>
  6. 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>
  7. E. Darve, “Hierarchical and Multigrid Solvers,” Presentation at the SIAM Annual Meeting, Westin Boston Waterfront, Boston, MA, July 11-15, 2016/li>
  8. 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>
  9. 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>
  10. 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>
  11. 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>
  12. 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>
  13. 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>
  14. X.S. Li (Invited), “SuperLU and STRUMPACK: Sparse Direct Solver and Preconditioner”, Argonne Training Program on Extreme-Scale Computing (ATPESC), August 5, 2016/li>
  15. 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>
  16. 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>
  17. 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

  1. 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.
  2. 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.
  3. 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.
  4. X.S. Li, P. Ghysels, F.-H. Rouet, “STRUMPACK - STRUctured Matrices PACKage”, Workshop on Fast Direct Solvers, June 24-26, 2015, Toulouse, France.
  5. 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.
    6. Publications
  6. Aminfar, A., E. Darve. “A Fast Block Low-Rank Dense Solver with Applications to Finite-Element Matrices.” J. Comp. Phys. (2105), accepted for publication.
  7. 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).
  8. 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

  1. 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
  2. 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
  3. 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).
  4. 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.
  5. 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.
  6. 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.
  7. A. Sivaram, and E. Darve . The Inverse Fast Multipole Method. arXiv preprint arXiv:1407.1572 (2014).
  8. 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

  1. 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
  2. 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
  3. 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
  4. 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.
  5. 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.
  6. 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)
  7. 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)
  8. 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

  1. Optimized M2L Kernels for the Chebyshev Fast Multipole Method, M. Messner, B. Bramas, O. Coulaud, E. Darve. (submitted in JCP) (pdf)
  2. Matrices Over Runtime Systems at Exascale,Emmanuel Agullo, George Bosilca, Cédric Castagnède, Jack Dongarra, Hatem Ltaief, Stan Tomov. Poster at SC'12
  3. Pipelining the Fast Multipole Method over a Runtime System, E. Agullo, B. Bramas, O. Coulaud, E. Darve, M. Messner, T. Takahashi. RR-7981 (pdf)
  4. 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

Top