Jan Gmys

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 27

Top Venues

Concurr. Comput. Pract. Exp.

HPCS

CoRR

Future Gener. Comput. Syst.

University of Mons, Belgium (PHD)

Education History

University of Mons, Belgium

PHD

Publications

Maxime Gobert, Guillaume Briffoteaux, Jan Gmys, Nouredine Melab, Daniel Tuyttens
Observations in applying Bayesian versus evolutionary approaches and their hybrids in parallel time-constrained optimization. Eng. Appl. Artif. Intell. 137 (2024)
Guillaume Helbecque, Tiago Carneiro, Nouredine Melab, Jan Gmys, Pascal Bouvry
PGAS Data Structure for Unbalanced Tree-Based Algorithms at Scale. ICCS (3) (2024)
Guillaume Helbecque, Jan Gmys, Nouredine Melab, Tiago Carneiro, Pascal Bouvry
Parallel distributed productivity-aware tree-search using Chapel. Concurr. Comput. Pract. Exp. 35 (27) (2023)
Guillaume Helbecque, Jan Gmys, Tiago Carneiro, Nouredine Melab, Pascal Bouvry
A performance-oriented comparative study of the Chapel high-productivity language to conventional programming environments. PMAM@PPoPP (2022)
Jan Gmys
Exactly Solving Hard Permutation Flowshop Scheduling Problems on Peta-Scale GPU-Accelerated Supercomputers. INFORMS J. Comput. 34 (5) (2022)
Nikolaus Frohner, Jan Gmys, Nouredine Melab, Günther R. Raidl, El-Ghazali Talbi
Parallel Beam Search for Combinatorial Optimization. ICPP Workshops (2022)
Maxime Gobert, Jan Gmys, Jean-François Toubeau, Nouredine Melab, Daniel Tuyttens, François Vallée
Batch Acquisition for Parallel Bayesian Optimization - Application to Hydro-Energy Storage Systems Scheduling. Algorithms 15 (12) (2022)
Maxime Gobert, Jan Gmys, Jean-François Toubeau, Nouredine Melab, Daniel Tuyttens, François Vallée
Parallel Bayesian Optimization for Optimal Scheduling of Underground Pumped Hydro-Energy Storage Systems. IPDPS Workshops (2022)
Nikolaus Frohner, Jan Gmys, Nouredine Melab, Günther R. Raidl, El-Ghazali Talbi
Parallel Beam Search for Combinatorial Optimization (Extended Abstract). SOCS (2022)
Johann Dréo, Arnaud Liefooghe, Sébastien Vérel, Marc Schoenauer, Juan Julián Merelo Guervós, Alexandre Quemy, Benjamin Bouvier, Jan Gmys
Paradiseo: From a Modular Framework for Evolutionary Computation to the Automated Design of Metaheuristics - 22 Years of Paradiseo -. CoRR (2021)
Johann Dréo, Arnaud Liefooghe, Sébastien Vérel, Marc Schoenauer, Juan Julián Merelo Guervós, Alexandre Quemy, Benjamin Bouvier, Jan Gmys
Paradiseo: from a modular framework for evolutionary computation to the automated design of metaheuristics: 22 years of Paradiseo. GECCO Companion (2021)
Jan Gmys, Mohand Mezmaz, Nouredine Melab, Daniel Tuyttens
A computationally efficient Branch-and-Bound algorithm for the permutation flow-shop scheduling problem. Eur. J. Oper. Res. 284 (3) (2020)
Nouredine Melab, Jan Gmys, Peter Korosec, Imen Chakroun
Synergy between parallel computing, optimization and simulation. J. Comput. Sci. 44 (2020)
Guillaume Briffoteaux, Maxime Gobert, Romain Ragonnet, Jan Gmys, Mohand Mezmaz, Nouredine Melab, Daniel Tuyttens
Parallel surrogate-assisted optimization: Batched Bayesian Neural Network-assisted GA versus q-EGO. Swarm Evol. Comput. 57 (2020)
Tiago Carneiro, Jan Gmys, Nouredine Melab, Daniel Tuyttens
Towards ultra-scale Branch-and-Bound using a high-productivity language. Future Gener. Comput. Syst. 105 (2020)
Jan Gmys
Solving large permutation flow-shop scheduling problems on GPU-accelerated supercomputers. CoRR (2020)
Jan Gmys, Tiago Carneiro, Nouredine Melab, El-Ghazali Talbi, Daniel Tuyttens
A comparative study of high-productivity high-performance programming languages for parallel metaheuristics. Swarm Evol. Comput. 57 (2020)
Maxime Gobert, Jan Gmys, Jean-François Toubeau, François Vallée, Nouredine Melab, Daniel Tuyttens
Surrogate-Assisted Optimization for Multi-stage Optimal Scheduling of Virtual Power Plants. HPCS (2019)
Jan Gmys
Optimal Solving of Permutation-based Optimization Problems on Heterogeneous CPU/GPU Clusters. HPCS (2018)
Tiago Carneiro, Jan Gmys, Nouredine Melab, Francisco Heron de Carvalho Junior, Pedro Pedrosa Rebouças Filho, Daniel Tuyttens
Dynamic Configuration of CUDA Runtime Variables for CDP-Based Divide-and-Conquer Algorithms. VECPAR (2018)
Nouredine Melab, Jan Gmys, Mohand-Said Mezmaz, Daniel Tuyttens
many-core computing for many-task Branch-and-Bound applied to big optimization problems. Future Gener. Comput. Syst. 82 (2018)
Tiago Carneiro Pessoa, Jan Gmys, Francisco Heron de Carvalho Junior, Nouredine Melab, Daniel Tuyttens
GPU-accelerated backtracking using CUDA Dynamic Parallelism. Concurr. Comput. Pract. Exp. 30 (9) (2018)
Jan Gmys, Mohand Mezmaz, Nouredine Melab, Daniel Tuyttens
IVM-based parallel branch-and-bound using hierarchical work stealing on multi-GPU systems. Concurr. Comput. Pract. Exp. 29 (9) (2017)
Jan Gmys, Rudi Leroy, Mohand Mezmaz, Nouredine Melab, Daniel Tuyttens
Work stealing with private integer-vector-matrix data structure for multi-core branch-and-bound algorithms. Concurr. Comput. Pract. Exp. 28 (18) (2016)
Jan Gmys, Mohand-Said Mezmaz, Nouredine Melab, Daniel Tuyttens
A GPU-based Branch-and-Bound algorithm using Integer-Vector-Matrix data structure. Parallel Comput. 59 (2016)
Tiago Carneiro Pessoa, Jan Gmys, Nouredine Melab, Francisco Heron de Carvalho Junior, Daniel Tuyttens
A GPU-Based Backtracking Algorithm for Permutation Combinatorial Problems. ICA3PP (2016)
Jan Gmys, Mohand Mezmaz, Nouredine Melab, Daniel Tuyttens
IVM-Based Work Stealing for Parallel Branch-and-Bound on GPU. PPAM (1) (2015)

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Publication Activity (10 Years)

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Jan Gmys