Team, Visitors, External Collaborators
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Partnerships and Cooperations
Dissemination
Bibliography
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Bibliography

Publications of the year

Doctoral Dissertations and Habilitation Theses

[1]
A. Falco.
Combler l’écart entre H-Matrices et méthodes directes creuses pour la résolution de systèmes linéaires de grandes tailles, Université de Bordeaux, June 2019.
https://tel.archives-ouvertes.fr/tel-02183902

Articles in International Peer-Reviewed Journals

[2]
E. Agullo, L. Giraud, A. Gobé, M. Kuhn, S. Lanteri, L. Moya.
High order HDG method and domain decomposition solvers for frequency‐domain electromagnetics, in: International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, October 2019. [ DOI : 10.1002/jnm.2678 ]
https://hal.inria.fr/hal-02327982
[3]
E. Agullo, L. Giraud, L. Poirel.
Robust preconditioners via generalized eigenproblems for hybrid sparse linear solvers, in: SIAM Journal on Matrix Analysis and Applications, 2019, vol. 40, no 2, pp. 417–439. [ DOI : 10.1137/17M1153765 ]
https://hal.inria.fr/hal-02074474
[4]
O. Beaumont, J. Herrmann, G. Pallez, A. Shilova.
Optimal Memory-aware Backpropagation of Deep Join Networks, in: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2019, forthcoming.
https://hal.inria.fr/hal-02401105
[5]
O. Beaumont, T. Lambert, L. Marchal, B. Thomas.
Performance Analysis and Optimality Results for Data-Locality Aware Tasks Scheduling with Replicated Inputs, in: Future Generation Computer Systems, October 2019, pp. 1-28. [ DOI : 10.1016/j.future.2019.08.024 ]
https://hal.inria.fr/hal-02275473
[6]
A. A. Franc, P. Blanchard, O. Coulaud.
Nonlinear mapping and distance geometry, in: Optimization Letters, May 2019. [ DOI : 10.1007/s11590-019-01431-y ]
https://hal.inria.fr/hal-02124882
[7]
S. Moustafa, F. Févotte, M. Faverge, L. Plagne, P. Ramet.
Efficient Parallel Solution of the 3D Stationary Boltzmann Transport Equation for Diffusive Problems, in: Journal of Computational Physics, March 2019. [ DOI : 10.1016/j.jcp.2019.03.019 ]
https://hal.inria.fr/hal-02080624

International Conferences with Proceedings

[8]
E. Agullo, L. Giraud, S. Lanteri, G. Marait, A.-C. Orgerie, L. Poirel.
Energy Analysis of a Solver Stack for Frequency-Domain Electromagnetics, in: PDP 2019 - 27th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, Pavia, Italy, 2019 27th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), IEEE, February 2019, pp. 385-391. [ DOI : 10.1109/EMPDP.2019.8671555 ]
https://hal.archives-ouvertes.fr/hal-02191331
[9]
G. Aupy, O. Beaumont, L. Eyraud-Dubois.
Sizing and Partitioning Strategies for Burst-Buffers to Reduce IO Contention, in: IPDPS 2019 - 33rd IEEE International Parallel and Distributed Processing Symposium, Rio de Janeiro, Brazil, May 2019.
https://hal.inria.fr/hal-02141616
[10]
L. Eyraud-Dubois, S. Kumar.
Analysis of a List Scheduling Algorithm for Task Graphs on Two Types of Resources, in: IPDPS 2020 - 34th IEEE International Parallel and Distributed Procesing Symposium, New Orleans, United States, May 2020.
https://hal.inria.fr/hal-02431810
[11]
S. Kumar, L. Eyraud-Dubois, S. Krishnamoorthy.
Performance Models for Data Transfers: A Case Study with Molecular Chemistry Kernels, in: ICPP 2019 - 48th International Conference on Parallel Processing, Kyoto, Japan, August 2019. [ DOI : 10.1145/3337821.3337921 ]
https://hal.inria.fr/hal-02431877
[12]
J.-R. Poirier, A. Bellouch, O. Coulaud, O. Kaya.
Fast BEM solution for scattering problems using Quantized Tensor Train format, in: COMPUMAG 2019 - 22nd International Conference on the Computation of Electromagnetic Field, Paris, France, July 2019.
https://hal.archives-ouvertes.fr/hal-02264277
[13]
D. Sukkari, H. Ltaief, D. Keyes, M. Faverge.
Leveraging Task-Based Polar Decomposition Using PARSEC on Massively Parallel Systems, in: IEEE Cluster 2019, Albuquerque, United States, September 2019.
https://hal.inria.fr/hal-02272946

Conferences without Proceedings

[14]
E. Agullo, A. Buttari, A. Guermouche, A. Legrand, I. Masliah, L. Stanisic.
Simulation of a Sparse Direct Solver on Heterogeneous Systems using Starpu and Simgrid, in: CSE 2019 - SIAM Conference on Computational Science and Engineering, Spokane, United States, SIAM, February 2019.
https://hal.inria.fr/hal-02073725
[15]
E. Agullo, S. Cools, L. Giraud, E. Fatih-Yetkin, W. Vanroose.
On Soft Errors in the Conjugate Gradient: Sensitivity and Robust Numerical Detection, in: CSE19 - SIAM Conference on Computational Science and Engineering, Spokane, United States, February 2019.
https://hal.inria.fr/hal-02073742
[16]
S. Cools, J. Cornelis, E. Agullo, E. Fatih-Yetkin, L. Giraud, W. Vanroose.
Numerical Analysis of the Maximal Attainable Accuracy in Communication-hiding Pipelined Conjugate Gradients, in: CSE19 - SIAM Conference on Computational Science and Engineering, Spokane, United States, February 2019.
https://hal.inria.fr/hal-02073711
[17]
M. 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
[18]
E. Korkmaz, M. Faverge, G. Pichon, P. Ramet.
Rank Revealing QR Methods for Sparse Block Low Rank Solvers, in: COMPAS 2019 - Conférence d'informatique en Parallélisme, Architecture et Système, Anglet, France, June 2019.
https://hal.inria.fr/hal-02326084
[19]
E. Korkmaz, M. Faverge, G. Pichon, P. Ramet.
Rank Revealing QR Methods for Sparse Block Low Rank Solvers, in: Sparse Days 2019, Toulouse, France, July 2019.
https://hal.inria.fr/hal-02326070
[20]
G. 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
[21]
P. Ramet.
Block Low Rank Algebraic Clustering for Sparse Direct Solvers, in: Journées Ondes Sud-Ouest (JOSO), Le Barp, France, March 2019.
https://hal.inria.fr/hal-02139186
[22]
G. Sylvand.
H-Matrix Solver Applied to Coupled FEM-BEM Aeroacoustics Simulations, in: Journées Ondes Sud-Ouest (JOSO), Le Barp, France, March 2019.
https://hal.inria.fr/hal-02140403

Internal Reports

[23]
O. Beaumont, L. Eyraud-Dubois, J. Herrmann, A. Joly, A. Shilova.
Optimal checkpointing for heterogeneous chains: how to train deep neural networks with limited memory, Inria Bordeaux Sud-Ouest, November 2019, no RR-9302, https://arxiv.org/abs/1911.13214.
https://hal.inria.fr/hal-02352969
[24]
O. Beaumont, J. Herrmann, G. Pallez, A. Shilova.
Optimal Memory-aware Backpropagation of Deep Join Networks, Inria, May 2019, no RR-9273.
https://hal.inria.fr/hal-02131552
[25]
N. Venkovic, P. Mycek, L. Giraud, O. Le Maitre.
Comparative study of harmonic and Rayleigh-Ritz procedures with applications to deflated conjugate gradients, Cerfacs, January 2020.
https://hal.archives-ouvertes.fr/hal-02434043

Software

[26]
S. Archipoff, C. Augonnet, O. Aumage, G. Beauchamp, B. Bramas, A. Buttari, A. Cassagne, J. Clet-Ortega, T. Cojean, N. Collin, V. Danjean, A. Denis, L. Eyraud-Dubois, N. Furmento, S. Henry, A. Hugo, M. Juhoor, A. Juven, M. Keryell-Even, Y. Khorsi, T. Lambert, E. Leria, B. Lizé, M. Makni, S. Nakov, R. Namyst, L. Nesi Lucas, J. Pablo, D. Pasqualinotto, S. Pitoiset, N. Quôc-Dinh, C. Roelandt, C. Sakka, C. Salingue, M. Schnorr Lucas, M. Sergent, A. Simonet, L. Stanisic, S. Bérangère, F. Tessier, S. Thibault, V. Brice, L. Villeveygoux, P.-A. Wacrenier.
StarPU, January 2020, Version : 1.3.3,
[ SWH-ID : swh:1:dir:b6e19d99449a78805e7a55a341fbaba2bc431973 ]
, Software.
https://hal.inria.fr/hal-02443512
[27]
L. Eyraud-Dubois, L.-C. Canon.
Experimental code and data for the paper "Scheduling on Two Types of Resources: a Survey", 2019,
[ SWH-ID : swh:1:dir:fe5a230ec88d49ecd9790d2199f23b5c5b72abbe ]
, Software.
https://hal.inria.fr/hal-02159005

Other Publications

[28]
O. Beaumont, L. Eyraud-Dubois, A. Shilova.
Optimal GPU-CPU Offloading Strategies for Deep Neural Network Training, October 2019, working paper or preprint.
https://hal.inria.fr/hal-02316266
[29]
A. Bernardi, M. Iannacito, D. Rocchini.
High Order Singular Value Decomposition for Plant Biodiversity Estimation, November 2019, https://arxiv.org/abs/1911.13076 - working paper or preprint.
https://hal.inria.fr/hal-02385304
[30]
L. Eyraud-Dubois, C. Bentes.
Independent tasks on 2 resources with co-scheduling effects, January 2020, working paper or preprint.
https://hal.inria.fr/hal-02431897
[31]
C. Mommessin, O. Beaumont, L.-C. Canon, L. Eyraud-Dubois, G. Lucarelli, L. Marchal, B. Simon, D. Trystram.
Scheduling on Two Types of Resources: a Survey, January 2020, https://arxiv.org/abs/1909.11365 - working paper or preprint.
https://hal.inria.fr/hal-02432381
[32]
G. Pichon, E. Darve, M. Faverge, E. Korkmaz, P. Ramet, J. Roman.
Sparse supernodal solver using block low-rank compression: Design, performance and analysis, November 2019, JOREK development meeting.
https://hal.inria.fr/hal-02326407