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  • The Inria's Research Teams produce an annual Activity Report presenting their activities and their results of the year. These reports include the team members, the scientific program, the software developed by the team and the new results of the year. The report also describes the grants, contracts and the activities of dissemination and teaching. Finally, the report gives the list of publications of the year.

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Bibliography

Publications of the year

Doctoral Dissertations and Habilitation Theses

  • 1N. Bouzat.

    Fine grain algorithms and numerical schemes for exascale simulations of turbulent plasmas, Université de strasbourg, December 2018.

    https://tel.archives-ouvertes.fr/tel-01975275
  • 2A. Durocher.

    Large scale dislocation dynamics simulation : performance and reliability on parallel and distributed architectures., Université de Bordeaux, 2018.
  • 3L. Poirel.

    Algebraic domain decomposition methods for hybrid (direct/iterative) solvers, Université de Bordeaux, November 2018.

Articles in International Peer-Reviewed Journals

  • 4E. Agullo, P. Arbenz, L. Giraud, O. Schenk.

    Guest editorial: Special issue on parallel matrix algorithms and applications (PMAA’16), in: Parallel Computing, May 2018, vol. 74, pp. 1 - 2. [ DOI : 10.1016/j.parco.2018.01.003 ]

    https://hal.inria.fr/hal-01927721
  • 5E. Agullo, E. Darve, L. Giraud, Y. Harness.

    Low-Rank Factorizations in Data Sparse Hierarchical Algorithms for Preconditioning Symmetric Positive Definite Matrices, in: SIAM Journal on Matrix Analysis and Applications, October 2018, vol. 39, no 4, pp. 1701-1725.

    https://hal.inria.fr/hal-01940053
  • 6T. Cojean, A. Guermouche, A. Hugo, R. Namyst, P.-A. Wacrenier.

    Resource aggregation for task-based Cholesky Factorization on top of modern architectures, in: Parallel Computing, October 2018, This paper is submitted for review to the Parallel Computing special issue for HCW and HeteroPar 16 workshops.

    https://hal.inria.fr/hal-01957086
  • 7S. Cools, E. F. Yetkin, E. Agullo, L. Giraud, W. Vanroose.

    Analyzing the Effect of Local Rounding Error Propagation on the Maximal Attainable Accuracy of the Pipelined Conjugate Gradient Method, in: SIAM Journal on Matrix Analysis and Applications, March 2018, vol. 39, no 1, pp. 426 - 450. [ DOI : 10.1137/17M1117872 ]

    https://hal.inria.fr/hal-01753411
  • 8H. Jagode, A. Danalis, R. Hoque, M. Faverge, J. Dongarra.

    Evaluation of Dataflow Programming Models for Electronic Structure Theory, in: Concurrency and Computation: Practice and Experience, 2018, 23 p.

    https://hal.inria.fr/hal-01725804
  • 9G. Pichon, E. Darve, M. Faverge, P. Ramet, J. Roman.

    Sparse supernodal solver using block low-rank compression: Design, performance and analysis, in: International Journal of Computational Science and Engineering, July 2018, vol. 27, pp. 255 - 270. [ DOI : 10.1016/J.JOCS.2018.06.007 ]

    https://hal.inria.fr/hal-01824275

International Conferences with Proceedings

  • 10A. Falco, E. Agullo, L. Giraud, G. Sylvand.

    Hierarchical Symbolic Factorization for Sparse Matrices, in: Sparse Days 2018, Toulouse, France, September 2018.

    https://hal.inria.fr/hal-01999895

Conferences without Proceedings

  • 11A. Durocher, L. Dupuy, O. Coulaud.

    Dislocation Dynamics Simulation : Large scale simulations with Numodis, in: Journées scientifiques de la DANS, Saclay, France, May 2018.

    https://hal.archives-ouvertes.fr/hal-01893794
  • 12M. Faverge, G. Pichon, P. Ramet.

    Exploiting Parameterized Task-graph in Sparse Direct Solvers, in: SIAM Conference on Computational Science and Engineering (CSE19), Spokane, United States, February 2019.

    https://hal.inria.fr/hal-01956963
  • 13G. Pichon, E. Darve, M. Faverge, P. Ramet, J. Roman.

    Supernodes ordering to enhance Block Low-Rank compression in sparse direct solvers, in: PMAA 2018 - 10th International Workshop on Parallel Matrix Algorithms and Applications, Zurich, Switzerland, June 2018.

    https://hal.inria.fr/hal-01956960
  • 14G. Pichon, E. Darve, M. Faverge, P. Ramet, J. Roman.

    Utilisation de la compression Block Low-Rank pour accélérer un solveur direct creux supernodal, in: COMPAS 2018 - Conférence d'informatique en Parallélisme, Architecture et Système, Toulouse, France, July 2018.

    https://hal.inria.fr/hal-01956959
  • 15G. Pichon, E. Darve, M. Faverge, P. Ramet, J. Roman.

    Block Low-rank Algebraic Clustering for Sparse Direct Solvers, in: SIAM Conference on Computational Science and Engineering (CSE19), Spokane, United States, February 2019.

    https://hal.inria.fr/hal-01956962

Internal Reports

  • 16E. Agullo, S. Cools, E. Fatih-Yetkin, L. Giraud, W. Vanroose.

    On soft errors in the Conjugate Gradient method: sensitivity and robust numerical detection, Inria Bordeaux Sud-Ouest, November 2018, no RR-9226.

    https://hal.inria.fr/hal-01929738
  • 17E. Agullo, E. Darve, L. Giraud, Y. Harness.

    Low-rank Factorizations in Data Sparse Hierarchical Algorithms for Preconditioning Symmetric Positive Definite Matrices, Inria Bordeaux Sud-Ouest, August 2018, no RR-9200.

    https://hal.inria.fr/hal-01856399
  • 18E. Agullo, L. Giraud, S. Lanteri, G. Marait, A.-C. Orgerie, L. Poirel.

    Energy analysis of a solver stack for frequency-domain electromagnetics, Inria Bordeaux Sud-Ouest, December 2018, no RR-9240.

    https://hal.inria.fr/hal-01962629
  • 19P. Blanchard, P. Chaumeil, J.-M. Frigerio, F. Rimet, F. Salin, S. Thérond, O. Coulaud, A. Franc.

    A geometric view of Biodiversity: scaling to metagenomics, Inria ; INRA, January 2018, no RR-9144, pp. 1-16, https://arxiv.org/abs/1803.02272.

    https://hal.inria.fr/hal-01685711
  • 20A. Franc, P. Blanchard, O. Coulaud.

    Nonlinear Mapping and Distance Geometry, Inria Bordeaux Sud-Ouest, September 2018, no RR-9210, 14 p, https://arxiv.org/abs/1810.08661.

    https://hal.inria.fr/hal-01897104
  • 21O. Kaya, R. Kannan, G. Ballard.

    Partitioning and Communication Strategies for Sparse Non-negative Matrix Factorization, Inria Bordeaux Sud-Ouest, July 2018, no RR-9198.

    https://hal.inria.fr/hal-01849084
  • 22G. Pichon, E. Darve, M. Faverge, P. Ramet, J. Roman.

    Supernodes ordering to enhance Block Low-Rank compression in sparse direct solvers, Inria Bordeaux Sud-Ouest, December 2018, no RR-9238, pp. 1-31.

    https://hal.inria.fr/hal-01961675

Other Publications

  • 23G. Pichon, M. Faverge, P. Ramet, J. Roman.

    Utilisation de la compression low-rank pour réduire la complexité du solveur PaStiX, October 2018, JCAD 2018 - Journées Calcul et Données.

    https://hal.inria.fr/hal-01956928
References in notes
  • 24L. Giraud, S. Gratton, J. Langou.

    Convergence in backward error of relaxed GMRES, in: SIAM J. Scientific Computing, 2007, vol. 29, no 2, pp. 710-728.
  • 25V. Simoncini, D. B. Szyld.

    Theory of Inexact Krylov Subspace Methods and Applications to Scientific Computing, in: SIAM J. Scientific Computing, 2003, vol. 25, pp. 454-477.