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Michaël Krajecki
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2020 – today
- 2022
- [c30]Maxim Moraru, Adrien Roussel, Hugo Taboada, Christophe Jaillet, Marc Pérache, Michaël Krajecki:
Performance Improvements of Parallel Applications thanks to MPI-4.0 Hints. SBAC-PAD 2022: 273-282 - [c29]Cassandra Rocha Barbosa, Pierre Lemarinier, Guillaume Papauré, Marc Pérache, Michaël Krajecki:
SABO: Dynamic MPI+OpenMP Resource Balancer. IPDRM@SC 2022: 1-8 - 2021
- [j12]Lucas Mohimont, Amine Chemchem, François Alin, Michaël Krajecki, Luiz Angelo Steffenel:
Convolutional neural networks and temporal CNNs for COVID-19 forecasting in France. Appl. Intell. 51(12): 8784-8809 (2021)
2010 – 2019
- 2019
- [j11]Amine Chemchem, François Alin, Michaël Krajecki:
Improving the Cognitive Agent Intelligence by Deep Knowledge Classification. Int. J. Comput. Intell. Appl. 18(1): 1950005:1-1950005:25 (2019) - [c28]Amine Chemchem, François Alin, Michaël Krajecki:
Combining SMOTE Sampling and Machine Learning for Forecasting Wheat Yields in France. AIKE 2019: 9-14 - [c27]François Alin, Amine Chemchem, Florent Nolot, Olivier Flauzac, Michaël Krajecki:
Towards a Hierarchical Deep Learning Approach for Intrusion Detection. MLN 2019: 15-27 - 2018
- [c26]Julien Loiseau, François Alin, Christophe Jaillet, Michaël Krajecki:
FleCSPHg: A GPU Accelerated Framework for Physics and Astrophysics Simulations. CARLA 2018: 123-137 - [c25]Amine Chemchem, François Alin, Michaël Krajecki:
Deep Learning and Data Mining Classification through the Intelligent Agent Reasoning. FiCloud Workshops 2018: 13-20 - 2017
- [j10]Gaëtan Rubez, Jean-Matthieu Etancelin, Xavier Vigouroux, Michaël Krajecki, Jean-Charles Boisson, Eric Henon:
GPU accelerated implementation of NCI calculations using promolecular density. J. Comput. Chem. 38(14): 1071-1083 (2017) - [c24]Arnaud Renard, Jean-Matthieu Etancelin, Michaël Krajecki:
romeoLAB: A High Performance Training Platform for HPC, GPU and DeepLearning. CARLA 2017: 55-67 - [c23]Habib Daneshpajouh, Pierre Delisle, Jean-Charles Boisson, Michaël Krajecki, Nordin Zakaria:
Parallel Batch Self-Organizing Map on Graphics Processing Unit Using CUDA. CARLA 2017: 87-100 - 2016
- [j9]Michaël Krajecki, Julien Loiseau, François Alin, Christophe Jaillet:
Many-Core Approaches to Combinatorial Problems: case of the Langford Problem. Supercomput. Front. Innov. 3(2): 21-37 (2016) - [c22]Michaël Krajecki, Julien Loiseau, François Alin, Christophe Jaillet:
BFS Traversal on Multi-GPU Cluster. CSE/EUC/DCABES 2016: 594-599 - 2015
- [j8]Romain Vasseur, Stéphanie Baud, Luiz Angelo Steffenel, Xavier Vigouroux, Laurent Martiny, Michaël Krajecki, Manuel Dauchez:
Inverse docking method for new proteins targets identification: A parallel approach. Parallel Comput. 42: 48-59 (2015) - 2014
- [i1]Florian Legendre, Gilles Dequen, Michaël Krajecki:
Logical Reasoning to Detect Weaknesses About SHA-1 and MD4/5. IACR Cryptol. ePrint Arch. 2014: 239 (2014) - 2013
- [j7]Audrey Delevacq, Pierre Delisle, Marc Gravel, Michaël Krajecki:
Parallel Ant Colony Optimization on Graphics Processing Units. J. Parallel Distributed Comput. 73(1): 52-61 (2013) - [c21]Romain Vasseur, Stéphanie Baud, Luiz Angelo Steffenel, Xavier Vigouroux, Laurent Martiny, Michaël Krajecki, Manuel Dauchez:
Parallel strategies for an inverse docking method. EuroMPI 2013: 253-258 - [c20]Florian Legendre, Gilles Dequen, Michaël Krajecki:
From a Logical Approach to Internal States of Hash Functions - How SAT Problem Can Help to Understand SHA-* and MD*. SECRYPT 2013: 435-443 - 2012
- [c19]Florian Legendre, Gilles Dequen, Michaël Krajecki:
Encoding Hash Functions as a SAT Problem. ICTAI 2012: 916-921 - [c18]Audrey Delevacq, Pierre Delisle, Michaël Krajecki:
Parallel GPU Implementation of Iterated Local Search for the Travelling Salesman Problem. LION 2012: 372-377 - [c17]Florian Legendre, Gilles Dequen, Michaël Krajecki:
Inverting Thanks to SAT Solving - An Application on Reduced-step MD*. SECRYPT 2012: 339-344 - 2011
- [c16]Gabriel Noaje, Christophe Jaillet, Michaël Krajecki:
Source-to-Source Code Translator: OpenMP C to CUDA. HPCC 2011: 512-519 - 2010
- [j6]Olivier Flauzac, Michaël Krajecki, Luiz Angelo Steffenel:
CONFIIT: a middleware for peer-to-peer computing. J. Supercomput. 53(1): 86-102 (2010) - [c15]Audrey Delevacq, Pierre Delisle, Marc Gravel, Michaël Krajecki:
Parallel Ant Colony Optimization on Graphics Processing Units. PDPTA 2010: 196-202
2000 – 2009
- 2009
- [j5]Pascal Vander-Swalmen, Gilles Dequen, Michaël Krajecki:
A Collaborative Approach for Multi-Threaded SAT Solving. Int. J. Parallel Program. 37(3): 324-342 (2009) - [c14]Gilles Dequen, Pascal Vander-Swalmen, Michaël Krajecki:
Toward Easy Parallel SAT Solving. ICTAI 2009: 425-432 - [c13]Pascal Vander-Swalmen, Michaël Krajecki, Gilles Dequen:
Automatic parallel SAT solving using MTSS. HPCS 2009: 176-177 - [c12]Pierre Delisle, Marc Gravel, Michaël Krajecki:
Multi-colony Parallel Ant Colony Optimization on SMP and Multi-core Computers. NaBIC 2009: 318-323 - 2008
- [j4]Michaël Krajecki, Christophe Jaillet, Alain Bui:
Parallel Tree Search for Combinatorial Problems: a Comparative Study between OpenMP and MPI, . Stud. Inform. Univ. 6(3): 274-312 (2008) - [c11]Pascal Vander-Swalmen, Gilles Dequen, Michaël Krajecki:
On Multi-threaded Satisfiability Solving with OpenMP. IWOMP 2008: 146-157 - 2007
- [c10]Christophe Jaillet, Michaël Krajecki:
A New Memory Allocation Model for Parallel Search Space Data Structures with OpenMP. IWOMP 2007: 148-152 - 2005
- [j3]Zineb Habbas, Michaël Krajecki, Daniel Singer:
Decomposition techniques for parallel resolution of constraint satisfaction problems in shared memory: a comparative study. Int. J. Comput. Sci. Eng. 1(2/3/4): 192-206 (2005) - [c9]Pierre Delisle, Marc Gravel, Michaël Krajecki, Caroline Gagné, Wilson L. Price:
Comparing Parallelization of an ACO: Message Passing vs. Shared Memory. Hybrid Metaheuristics 2005: 1-11 - 2004
- [c8]Arnaud Renard, Michaël Krajecki, Alain Bui:
On-Request Urban Transport Parallel Optimization. IICS 2004: 266-275 - [c7]Michaël Krajecki, Olivier Flauzac, Pierre-Paul Mérel:
Focus on the Communication Scheme in the Middleware CONFIIT Using XML-RPC. IPDPS 2004 - [c6]Christophe Jaillet, Michaël Krajecki:
Solving the Langford Problem in Parallel. ISPDC/HeteroPar 2004: 83-90 - 2003
- [c5]Olivier Flauzac, Michaël Krajecki, Jean Fugère:
CONFIIT: A Middleware for Peer to Peer Computing. ICCSA (3) 2003: 69-78 - 2002
- [c4]Christophe Jaillet, Michaël Krajecki, Jean Fugère:
A Parallel Shared Memory Simulator for Command and Control. HPCS 2002: 237-242 - 2001
- [j2]Zineb Habbas, Francine Herrmann, Michaël Krajecki:
A Fast Parallel Tree Contraction for the Ray-object Calculus Using Open-MP. Comput. Artif. Intell. 20(1): 77-92 (2001) - [j1]Zineb Habbas, Michaël Krajecki, Daniel Singer:
Shared Memory Implementation of Constraint Satisfaction Problem Resolution. Parallel Process. Lett. 11(4): 487-501 (2001) - [c3]Zineb Habbas, Michaël Krajecki, Daniel Singer:
The Langford's Problem: A Challenge for Parallel Resolution of CSP. PPAM 2001: 789-796
1990 – 1999
- 1999
- [c2]Michaël Krajecki:
An Object Oriented Environment to Manage the Parallelism of the FIIT Applications. PaCT 1999: 229-234 - [c1]Zineb Habbas, Francine Herrmann, Daniel Singer, Michaël Krajecki:
A Methodological Approach to Implement CSP on FPGA. IEEE International Workshop on Rapid System Prototyping 1999: 66-
Coauthor Index
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