An Object Oriented Environment to Manage the Parallelism of the FIIT Applications. - Michaël Krajecki (PaCT, 1999)

A Methodological Approach to Implement CSP on FPGA. - Zineb Habbas; Francine Herrmann; Daniel Singer; Michaël Krajecki (IEEE International Workshop on Rapid System Prototyping, 1999)

The Langford's Problem: A Challenge for Parallel Resolution of CSP. - Zineb Habbas; Michaël Krajecki; Daniel Singer (PPAM, 2001)

A Fast Parallel Tree Contraction for the Ray-object Calculus Using Open-MP. - Zineb Habbas; Francine Herrmann; Michaël Krajecki (Comput. Artif. Intell., 2001)

Shared Memory Implementation of Constraint Satisfaction Problem Resolution. - Zineb Habbas; Michaël Krajecki; Daniel Singer (Parallel Process. Lett., 2001)

A Parallel Shared Memory Simulator for Command and Control. - Christophe Jaillet; Michaël Krajecki; Jean Fugère (HPCS, 2002)

CONFIIT: A Middleware for Peer to Peer Computing. - Olivier Flauzac; Michaël Krajecki; Jean Fugère (ICCSA (3), 2003)

On-Request Urban Transport Parallel Optimization. - Arnaud Renard; Michaël Krajecki; Alain Bui (IICS, 2004)

Focus on the Communication Scheme in the Middleware CONFIIT Using XML-RPC. - Michaël Krajecki; Olivier Flauzac; Pierre-Paul Mérel (IPDPS, 2004)

Solving the Langford Problem in Parallel. - Christophe Jaillet; Michaël Krajecki (ISPDC/HeteroPar, 2004)

Comparing Parallelization of an ACO: Message Passing vs. Shared Memory. - Pierre Delisle; Marc Gravel; Michaël Krajecki; Caroline Gagné; Wilson L. Price (Hybrid Metaheuristics, 2005)

Decomposition techniques for parallel resolution of constraint satisfaction problems in shared memory: a comparative study. - Zineb Habbas; Michaël Krajecki; Daniel Singer (Int. J. Comput. Sci. Eng., 2005)

A New Memory Allocation Model for Parallel Search Space Data Structures with OpenMP. - Christophe Jaillet; Michaël Krajecki (IWOMP, 2007)

On Multi-threaded Satisfiability Solving with OpenMP. - Pascal Vander-Swalmen; Gilles Dequen; Michaël Krajecki (IWOMP, 2008)

Parallel Tree Search for Combinatorial Problems: a Comparative Study between OpenMP and MPI, . - Michaël Krajecki; Christophe Jaillet; Alain Bui (Stud. Inform. Univ., 2008)

Toward Easy Parallel SAT Solving. - Gilles Dequen; Pascal Vander-Swalmen; Michaël Krajecki (ICTAI, 2009)

Automatic parallel SAT solving using MTSS. - Pascal Vander-Swalmen; Michaël Krajecki; Gilles Dequen (HPCS, 2009)

Multi-colony Parallel Ant Colony Optimization on SMP and Multi-core Computers. - Pierre Delisle; Marc Gravel; Michaël Krajecki (NaBIC, 2009)

A Collaborative Approach for Multi-Threaded SAT Solving. - Pascal Vander-Swalmen; Gilles Dequen; Michaël Krajecki (Int. J. Parallel Program., 2009)

CONFIIT: a middleware for peer-to-peer computing. - Olivier Flauzac; Michaël Krajecki; Luiz Angelo Steffenel (J. Supercomput., 2010)

Source-to-Source Code Translator: OpenMP C to CUDA. - Gabriel Noaje; Christophe Jaillet; Michaël Krajecki (HPCC, 2011)

Encoding Hash Functions as a SAT Problem. - Florian Legendre; Gilles Dequen; Michaël Krajecki (ICTAI, 2012)

Parallel GPU Implementation of Iterated Local Search for the Travelling Salesman Problem. - Audrey Delevacq; Pierre Delisle; Michaël Krajecki (LION, 2012)

Inverting Thanks to SAT Solving - An Application on Reduced-step MD*. - Florian Legendre; Gilles Dequen; Michaël Krajecki (SECRYPT, 2012)

Parallel strategies for an inverse docking method. - Romain Vasseur; Stéphanie Baud; Luiz Angelo Steffenel; Xavier Vigouroux; Laurent Martiny; Michaël Krajecki; Manuel Dauchez (EuroMPI, 2013)

From a Logical Approach to Internal States of Hash Functions - How SAT Problem Can Help to Understand SHA-* and MD*. - Florian Legendre; Gilles Dequen; Michaël Krajecki (SECRYPT, 2013)

Parallel Ant Colony Optimization on Graphics Processing Units. - Audrey Delevacq; Pierre Delisle; Marc Gravel; Michaël Krajecki (J. Parallel Distributed Comput., 2013)

Logical Reasoning to Detect Weaknesses About SHA-1 and MD4/5. - Florian Legendre; Gilles Dequen; Michaël Krajecki (IACR Cryptol. ePrint Arch., 2014)

Inverse docking method for new proteins targets identification: A parallel approach. - Romain Vasseur; Stéphanie Baud; Luiz Angelo Steffenel; Xavier Vigouroux; Laurent Martiny; Michaël Krajecki; Manuel Dauchez (Parallel Comput., 2015)

BFS Traversal on Multi-GPU Cluster. - Michaël Krajecki; Julien Loiseau; François Alin; Christophe Jaillet (CSE/EUC/DCABES, 2016)

Many-Core Approaches to Combinatorial Problems: case of the Langford Problem. - Michaël Krajecki; Julien Loiseau; François Alin; Christophe Jaillet (Supercomput. Front. Innov., 2016)

Parallel Batch Self-Organizing Map on Graphics Processing Unit Using CUDA. - Habib Daneshpajouh; Pierre Delisle; Jean-Charles Boisson; Michaël Krajecki; Nordin Zakaria 001 (CARLA, 2017)

romeoLAB: A High Performance Training Platform for HPC, GPU and DeepLearning. - Arnaud Renard; Jean-Matthieu Etancelin; Michaël Krajecki (CARLA, 2017)

GPU accelerated implementation of NCI calculations using promolecular density. - Gaëtan Rubez; Jean-Matthieu Etancelin; Xavier Vigouroux; Michaël Krajecki; Jean-Charles Boisson; Eric Henon (J. Comput. Chem., 2017)

FleCSPHg: A GPU Accelerated Framework for Physics and Astrophysics Simulations. - Julien Loiseau; François Alin; Christophe Jaillet; Michaël Krajecki (CARLA, 2018)

Deep Learning and Data Mining Classification through the Intelligent Agent Reasoning. - Amine Chemchem; François Alin; Michaël Krajecki (FiCloud Workshops, 2018)

Combining SMOTE Sampling and Machine Learning for Forecasting Wheat Yields in France. - Amine Chemchem; François Alin; Michaël Krajecki (AIKE, 2019)

Towards a Hierarchical Deep Learning Approach for Intrusion Detection. - François Alin; Amine Chemchem; Florent Nolot; Olivier Flauzac; Michaël Krajecki (MLN, 2019)

Improving the Cognitive Agent Intelligence by Deep Knowledge Classification. - Amine Chemchem; François Alin; Michaël Krajecki (Int. J. Comput. Intell. Appl., 2019)

Convolutional neural networks and temporal CNNs for COVID-19 forecasting in France. - Lucas Mohimont; Amine Chemchem; François Alin; Michaël Krajecki; Luiz Angelo Steffenel (Appl. Intell., 2021)

Performance Improvements of Parallel Applications thanks to MPI-4.0 Hints. - Maxim Moraru; Adrien Roussel; Hugo Taboada; Christophe Jaillet; Marc Pérache; Michaël Krajecki (SBAC-PAD, 2022)

SABO: Dynamic MPI+OpenMP Resource Balancer. - Cassandra Rocha Barbosa; Pierre Lemarinier; Guillaume Papauré; Marc Pérache; Michaël Krajecki (IPDRM@SC, 2022)