MUMPS Documentation

User's guide:

postscript / pdf

MUMPS Users Group Meeting:

  • May, 29th -- 30th 2013 - EDF, Clamart, France: program and presentations available here.
  • April, 15th -- 16th 2010 - Toulouse, France: program and presentations available here.
  • October, 24th 2006 - Lyon, France: program and presentations available here.

MUMPS related publications:

  • [2014] P. Amestoy, J.-Y. L'Excellent, F.-H. Rouet, W. Sid-Lakhdar, Modeling 1D distributed-memory dense kernels for an asynchronous multifrontal sparse solver, High-Performance Computing for Computational Science, VECPAR 2014, Eugene, Oregon, USA, June 30 - July 3.
  • [2014] P. Amestoy, J.-Y. L'Excellent, W. Sid-Lakhdar, Characterizing asynchronous broadcast trees for multifrontal factorizations, SIAM Workshop on Combinatorial Scientific Computing, Lyon, France, July 21-23.
  • [2013] P. Amestoy, G. Joslin, J.-Y. L'Excellent, F.-X. Roux and X. Vasseur, MUMPS direct solver: applications at Hutchinson, current research and perspectives , MATHIAS 2013 meeting , TOTAL, Paris La Défense, Oct 23-25.
  • [2013] C. Weisbecker, Improving multifrontal solvers by means of algebraic block low-rank representations, PhD Thesis supported by EDF, INPT-IRIT, PhD Thesis, Leopold Escande price from INPT, Nov. 2013.
  • [2013] E. Agullo, P. 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, San Francisco, August 18, 2013,
  • [2013] P. Amestoy, A. Buttari, G. Joslin, J.-Y. L'Excellent, M. Sid-Lakhdar, C. Weisbecker, M. Forzan, C. Pozza, R. Perrin, V. Pellissier. Shared memory parallelism and low-rank approximation techniques applied to direct solvers in FEM simulation in IEEE Transactions on Magnetics, IEEE, Special issue, Compumag 2013.
  • [2013] L. Boucher, P. Amestoy, A, Buttari, F.-H. Rouet and M. Chauvin, INTEGRAL/SPI data segmentation to retrieve sources intensity variations. Astronomy & Astrophysics, Article 52, 20 pages, http://dx.doi.org/10.1051/0004-6361/201219605 .
  • [2013] J.-Y. L'Excellent and M. W. Sid-Lakhdar, Introduction of shared-memory parallelism in a distributed-memory multifrontal solver}, Inria and LIP report RR-8827.
  • [2013] L. Boucher, P. Amestoy, A, Buttari, F.-H. Rouet and 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, vol 1, 59--69, doi:10.1016/j.ascom.2013.03.002 .
  • [2012] P. Amestoy, C. Ashcraft, O. Boiteau, A. Buttari, J.-Y. L'Excellent, and C. Weisbecker, Improving multifrontal methods by means of block low-rank representations. INPT-IRIT technical report RT/APO/12/6. Also appeared as INRIA Technical Report RR-8199.
  • [2012] F.-H. Rouet, Memory and Performance issues in parallel multifrontal factorization and triangular solutions with sparse right-hand sides, PhD Thesis, INPT.
  • [2012] J.-Y. L'Excellent, Multifrontal methods: Parallelism, Memory Usage and Numerical Aspects, habilitation thesis.
  • [2010] P. Amestoy, I.S. Duff, Y. Robert, F.H. Rouet and B. Ucar, On computing inverse entries of a sparse matrix in an out-of-core environment, INPT-IRIT technical report RT-APO-10-06, also appeared as INRIA-LIP and CERFACS Technical Report. Revised version appeared in SIAM J. on Scientific Computing Vol. 34 N. 4, p. 1975-1999, juillet 2012.
  • [2010] MUMPS Team, Slides presented at the final workshop of the ANR Solstice project, in conjunction with the Sparse Days Meeting 2010 at CERFACS.
  • [2010] I. Chowdhury and J.-Y. L'Excellent, Some Experiments and Issues to Exploit Multicore Parallelism in a Distributed-Memory Parallel Sparse Direct Solver, Technical Report RR-4711, INRIA and LIP-ENS Lyon.
  • [2010] P. Amestoy, I.S. Duff, A. Guermouche, and T. Slavova. Analysis of the Solution Phase of a Parallel Multifrontal Approach. Parallel Computing doi:10.1016/j.parco.2009.06.00, No 36, pages 3-15, http://dx.doi.org/10.1016/j.parco.2009.06.001.
  • [2010] E. Agullo, A. Guermouche and J.-Y. L'Excellent, Reducing the I/O Volume in Sparse Out-of-core Multifrontal Methods, SIAM J. Sci. Comput., volume 31(6), pages 4774-4794.
  • [2009] T. Slavova, Parallel triangular solution in the out-of-core multifrontal approach for solving large sparse linear systems, PhD Thesis, INPT, Available as CERFACS Report TH/PA/09/59.
  • [2009] F. Sourbier, S. Operto, J. Virieux, P.R. Amestoy, J.-Y. L'Excellent, FWT2D: a massively parallel program for frequency-domain Full-Waveform Tomography of wide-aperture seismic data -- Part 2: Numerical examples and scalability analysis, Computers and Geosciences, doi:10.1016/j.cageo.2008.04.012
  • [2009] F. Sourbier, S. Operto, J. Virieux, P.R. Amestoy, J.-Y. L'Excellent, FWT2D: a massively parallel program for frequency-domain Full-Waveform Tomography of wide-aperture seismic data -- Part 1: Algorithm, Computers and Geosciences, doi:10.1016/j.cageo.2008.04.013.
  • [2008] E. Agullo, A. Guermouche, and J.-Y. L'Excellent. A Parallel Out-of-core Multifrontal Method: Storage of Factors on Disk and Analysis of Models for an Out-of-core Active Memory, Parallel Computing, Special Issue on Parallel Matrix Algorithms, 34(6-8), 296-317.
  • [2008] P. R. Amestoy, I. S. Duff, D. Ruiz, and B. Ucar, A parallel matrix scaling algorithm, accepted for publication, proceedings of VECPAR'08 -International Meeting-High Performance Computing for Computational Science, revised version appeared in Lecture Notes in Computer Science, 5336, pp 309-321, 2008.
  • [2007] P. Amestoy, I.S. Duff, A. Guermouche, and T. Slavova. Analysis of the Out-of-Core Solution Phase of a Parallel Multifrontal Approach. ENSEEIHT-IRIT Technical Report RT/APO/07/3. Also available as a CERFACS and as an INRIA report.
  • [2007] E. Agullo, A. Guermouche and J.-Y. L'Excellent. Towards a Parallel Out-of-core Multifrontal Solver: Preliminary Study. Technical Report LIP RR2007-06. Also available as an INRIA report.
  • [2006] A. Guermouche and J.-Y. L'Excellent. Constructing Memory-minimizing Schedules for Multifrontal Methods. ACM Transactions Mathematical Software, 32(1):17-32.
  • [2006] A. Fèvre, J.-Y. L'Excellent and S. Pralet. Scilab and MATLAB Interfaces to MUMPS (version 4.6 or greater) Technical report LIP RR2006-06. Also available as ENSEEIHT-IRIT and INRIA reports.
  • [2005] MUMPS Poster describing recent features and current research.
  • [2004] P. R. Amestoy, A. Guermouche, J.-Y. L'Excellent and S. Pralet. Hybrid scheduling for the parallel solution of linear systems, Technical report INRIA RR-5404 also ENSEEIHT-IRIT RT/APO/04/4 and LIP report RR2004-53. Improved version appeared in Parallel Computing 32 (2): 136-156, 2006.
  • [2003] A. Guermouche, J.-Y. L'Excellent, and G.Utard, Impact of reordering on the memory of a multifrontal solver. Parallel Computing, 29(9), pages 1191-1218. Some overlap with LIP report RR2003-08 / INRIA report RR-4729.
  • [2003] A. Guermouche, J.-Y. L'Excellent, and G.Utard, Analysis and Improvments of the Memory Usage of a Multifrontal Solver, LIP report RR2003-08 / INRIA report RR-4729.
  • [2003] P. Amestoy, I.S. Duff, S. Pralet and C. Voemel, Adapting a parallel sparse direct solver to SMP architectures, ENSEEIHT-IRIT Technical Report RT/APO/03/1.
    Modified version appeared in Parallel Computing, 29 (11-12), pages 1645-1668.
  • [2002] MUMPS poster presented at the INRIA exhibit of Supercomputing 2002 (poster in powerpoint format).
  • [2002] P. Amestoy, I.S. Duff and C. Voemel, Task Scheduling in an asynchronous distributed multifrontal solver, ENSEEIHT-IRIT Technical Report RT/APO/02/1.
    Modified version appeared in SIAM Journal on Matrix Analysis and Applications, Vol 26(2) pp 544--565 (2005).
  • [2002] A. Guermouche, J.-Y. L'Excellent, and G.Utard, On the Memory Usage of a Parallel Multifrontal Solver, LIP report RR2002-42 / INRIA report RR-4617.
    Modified version appeared in the proceedings of IPDPS'03.
  • [2001] P.R. Amestoy, I.S. Duff, J.-Y. L'Excellent, and X.S. Li, Impact of the implementation of MPI Point-to-Point Communications on the Performance of Two General Sparse Solvers, LIP report RR2002-6 / INRIA research report RR-4372. Also ENSEEIHT-IRIT Technical Report RT/APO/01/4.
    Improved version appeared in Parallel Computing 29(7), pages 833-847 (2003).
  • [2000] P.R. Amestoy, I.S. Duff, J.-Y. L'Excellent, and X.S. Li, Analysis, Tuning and Comparison of Two General Sparse Solvers for Distributed Memory Computers, ENSEEIHT-IRIT Technical Report RT/APO/00/2. Also Lawrence Berkeley National Laboratory Report LBNL-45992.
    Shortened version accepted to ACM Trans. Math. Softw. , V 27[4], 388--421 (2001).
  • [1999] P.R. Amestoy, I.S. Duff, J.-Y. L'Excellent, and J. Koster, A fully asynchronous multifrontal solver using distributed dynamic scheduling, ENSEEIHT-IRIT Technical Report RT/APO/99/2.
    Revised version appeared in SIAM Journal on Matrix Analysis and Applications, 23[1], 15-41 (2001)
  • [1998] P.R. Amestoy, I.S. Duff et J.-Y. L'Excellent, Parallélisation de la factorisation LU de matrices creuses non-symmétriques pour des architectures à mémoire distribuée, rapport technique ENSEEIHT-IRIT.
    Revised version appeared in Calculateurs Parallèles Réseaux et sytèmes répartis, 10(5), 509-520 (1998).
  • [1998] P.R. Amestoy, I.S. Duff and J.-Y. L'Excellent, Multifrontal parallel distributed symmetric and unsymmetric solvers, ENSEEIHT-IRIT Technical Report.
    Revised version appeared in Comput. Methods in Appl. Mech. Eng., 184, 501-520 (2000).