Jan Gmys

According to our database, Jan Gmys authored at least 26 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Parallel distributed productivity-aware tree-search using Chapel.

Guillaume Helbecque, Jan Gmys, Nouredine Melab, Tiago Carneiro, Pascal Bouvry

Concurr. Comput. Pract. Exp., 2023

2022

Exactly Solving Hard Permutation Flowshop Scheduling Problems on Peta-Scale GPU-Accelerated Supercomputers.

Jan Gmys

INFORMS J. Comput., 2022

Batch Acquisition for Parallel Bayesian Optimization - Application to Hydro-Energy Storage Systems Scheduling.

Maxime Gobert, Jan Gmys, Jean-François Toubeau, Nouredine Melab, Daniel Tuyttens, François Vallée

Algorithms, 2022

Parallel Beam Search for Combinatorial Optimization (Extended Abstract).

Nikolaus Frohner, Jan Gmys, Nouredine Melab, Günther R. Raidl, El-Ghazali Talbi

Proceedings of the Fifteenth International Symposium on Combinatorial Search, 2022

A performance-oriented comparative study of the Chapel high-productivity language to conventional programming environments.

Guillaume Helbecque, Jan Gmys, Tiago Carneiro, Nouredine Melab, Pascal Bouvry

Proceedings of the PMAM@PPoPP 2022: Proceedings of the Thirteenth International Workshop on Programming Models and Applications for Multicores and Manycores, Virtual Event / Seoul, Republic of Korea, April 2, 2022

Parallel Bayesian Optimization for Optimal Scheduling of Underground Pumped Hydro-Energy Storage Systems.

Maxime Gobert, Jan Gmys, Jean-François Toubeau, Nouredine Melab, Daniel Tuyttens, François Vallée

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

Parallel Beam Search for Combinatorial Optimization.

Nikolaus Frohner, Jan Gmys, Nouredine Melab, Günther R. Raidl, El-Ghazali Talbi

Proceedings of the Workshop Proceedings of the 51st International Conference on Parallel Processing, 2022

2021

Paradiseo: from a modular framework for evolutionary computation to the automated design of metaheuristics: 22 years of Paradiseo.

Johann Dréo, Arnaud Liefooghe, Sébastien Vérel, Marc Schoenauer, Juan Julián Merelo Guervós, Alexandre Quemy, Benjamin Bouvier, Jan Gmys

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

Many-Core Branch-and-Bound for GPU Accelerators and MIC Coprocessors.

Nouredine Melab, Jan Gmys, Mohand Mezmaz, Daniel Tuyttens

Proceedings of the High-Performance Simulation-Based Optimization, 2020

A comparative study of high-productivity high-performance programming languages for parallel metaheuristics.

Jan Gmys, Tiago Carneiro, Nouredine Melab, El-Ghazali Talbi, Daniel Tuyttens

Swarm Evol. Comput., 2020

Parallel surrogate-assisted optimization: Batched Bayesian Neural Network-assisted GA versus q-EGO.

Guillaume Briffoteaux, Maxime Gobert, Romain Ragonnet, Jan Gmys, Mohand Mezmaz, Nouredine Melab, Daniel Tuyttens

Swarm Evol. Comput., 2020

Synergy between parallel computing, optimization and simulation.

Nouredine Melab, Jan Gmys, Peter Korosec, Imen Chakroun

J. Comput. Sci., 2020

Towards ultra-scale Branch-and-Bound using a high-productivity language.

Tiago Carneiro, Jan Gmys, Nouredine Melab, Daniel Tuyttens

Future Gener. Comput. Syst., 2020

A computationally efficient Branch-and-Bound algorithm for the permutation flow-shop scheduling problem.

Jan Gmys, Mohand Mezmaz, Nouredine Melab, Daniel Tuyttens

Eur. J. Oper. Res., 2020

Solving large permutation flow-shop scheduling problems on GPU-accelerated supercomputers.

Jan Gmys

CoRR, 2020

2019

Surrogate-Assisted Optimization for Multi-stage Optimal Scheduling of Virtual Power Plants.

Maxime Gobert, Jan Gmys, Jean-François Toubeau, François Vallée, Nouredine Melab, Daniel Tuyttens

Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019

2018

Multi-core <i>versus</i> many-core computing for many-task Branch-and-Bound applied to big optimization problems.

Nouredine Melab, Jan Gmys, Mohand-Said Mezmaz, Daniel Tuyttens

Future Gener. Comput. Syst., 2018

GPU-accelerated backtracking using CUDA Dynamic Parallelism.

Tiago Carneiro Pessoa, Jan Gmys, Francisco Heron de Carvalho Junior, Nouredine Melab, Daniel Tuyttens

Concurr. Comput. Pract. Exp., 2018

Dynamic Configuration of CUDA Runtime Variables for CDP-Based Divide-and-Conquer Algorithms.

Tiago Carneiro, Jan Gmys, Nouredine Melab, Francisco Heron de Carvalho Junior, Pedro Pedrosa Rebouças Filho, Daniel Tuyttens

Proceedings of the High Performance Computing for Computational Science - VECPAR 2018, 2018

Optimal Solving of Permutation-based Optimization Problems on Heterogeneous CPU/GPU Clusters.

Jan Gmys

Proceedings of the 2018 International Conference on High Performance Computing & Simulation, 2018

2017

Heterogeneous cluster computing for many-task exact optimization - Application to permutation problems. (Optimisation massivement multi-tâche sur grappes de calcul hétérogènes - Application aux problèmes de permutation).

Jan Gmys

PhD thesis, 2017

IVM-based parallel branch-and-bound using hierarchical work stealing on multi-GPU systems.

Jan Gmys, Mohand Mezmaz, Nouredine Melab, Daniel Tuyttens

Concurr. Comput. Pract. Exp., 2017

2016

A GPU-based Branch-and-Bound algorithm using Integer-Vector-Matrix data structure.

Jan Gmys, Mohand-Said Mezmaz, Nouredine Melab, Daniel Tuyttens

Parallel Comput., 2016

Work stealing with private integer-vector-matrix data structure for multi-core branch-and-bound algorithms.

Jan Gmys, Rudi Leroy, Mohand Mezmaz, Nouredine Melab, Daniel Tuyttens

Concurr. Comput. Pract. Exp., 2016

A GPU-Based Backtracking Algorithm for Permutation Combinatorial Problems.

Tiago Carneiro Pessoa, Jan Gmys, Nouredine Melab, Francisco Heron de Carvalho Junior, Daniel Tuyttens

Proceedings of the Algorithms and Architectures for Parallel Processing, 2016

2015

IVM-Based Work Stealing for Parallel Branch-and-Bound on GPU.

Jan Gmys, Mohand Mezmaz, Nouredine Melab, Daniel Tuyttens

Proceedings of the Parallel Processing and Applied Mathematics, 2015