Jan Gmys

30 papers B 1C 1Journal 17Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
A parallel memetic algorithm for qubit mapping on noisy intermediate-scale quantum machines.
Eng. Appl. Artif. Intell.
Jérôme Rouzé, Nouredine Melab, Jan Gmys, Daniel Tuyttens
2024 J jnl
Observations in applying Bayesian versus evolutionary approaches and their hybrids in parallel time-constrained optimization.
Eng. Appl. Artif. Intell.
Maxime Gobert, Guillaume Briffoteaux, Jan Gmys, Nouredine Melab, Daniel Tuyttens
2024 — conf
PGAS Data Structure for Unbalanced Tree-Based Algorithms at Scale.
ICCS (3)
Guillaume Helbecque, Tiago Carneiro, Nouredine Melab, Jan Gmys, Pascal Bouvry
2023 J jnl
Parallel distributed productivity-aware tree-search using Chapel.
Concurr. Comput. Pract. Exp.
Guillaume Helbecque, Jan Gmys, Nouredine Melab, Tiago Carneiro, Pascal Bouvry
2022 — conf
A performance-oriented comparative study of the Chapel high-productivity language to conventional programming environments.
PMAM@PPoPP
Guillaume Helbecque, Jan Gmys, Tiago Carneiro, Nouredine Melab, Pascal Bouvry
2022 J jnl
Batch Acquisition for Parallel Bayesian Optimization - Application to Hydro-Energy Storage Systems Scheduling.
Algorithms
Maxime Gobert, Jan Gmys, Jean-François Toubeau, Nouredine Melab, Daniel Tuyttens, François Vallée
2022 J jnl
Exactly Solving Hard Permutation Flowshop Scheduling Problems on Peta-Scale GPU-Accelerated Supercomputers.
INFORMS J. Comput.
Jan Gmys
2022 — conf
Parallel Bayesian Optimization for Optimal Scheduling of Underground Pumped Hydro-Energy Storage Systems.
IPDPS Workshops
Maxime Gobert, Jan Gmys, Jean-François Toubeau, Nouredine Melab, Daniel Tuyttens, François Vallée
2022 B conf
Parallel Beam Search for Combinatorial Optimization (Extended Abstract).
SOCS
Nikolaus Frohner, Jan Gmys, Nouredine Melab, Günther R. Raidl, El-Ghazali Talbi
2022 — conf
Parallel Beam Search for Combinatorial Optimization.
ICPP Workshops
Nikolaus Frohner, Jan Gmys, Nouredine Melab, Günther R. Raidl, El-Ghazali Talbi
2021 J jnl
Paradiseo: From a Modular Framework for Evolutionary Computation to the Automated Design of Metaheuristics - 22 Years of Paradiseo -.
CoRR
Johann Dréo, Arnaud Liefooghe, Sébastien Vérel, Marc Schoenauer, Juan Julián Merelo Guervós, Alexandre Quemy, Benjamin Bouvier, Jan Gmys
2021 — conf
Paradiseo: from a modular framework for evolutionary computation to the automated design of metaheuristics: 22 years of Paradiseo.
GECCO Companion
Johann Dréo, Arnaud Liefooghe, Sébastien Vérel, Marc Schoenauer, Juan Julián Merelo Guervós, Alexandre Quemy, Benjamin Bouvier, Jan Gmys
2020 J jnl
A comparative study of high-productivity high-performance programming languages for parallel metaheuristics.
Swarm Evol. Comput.
Jan Gmys, Tiago Carneiro, Nouredine Melab, El-Ghazali Talbi, Daniel Tuyttens
2020 J jnl
A computationally efficient Branch-and-Bound algorithm for the permutation flow-shop scheduling problem.
Eur. J. Oper. Res.
Jan Gmys, Mohand Mezmaz, Nouredine Melab, Daniel Tuyttens
2020 — ch.
Many-Core Branch-and-Bound for GPU Accelerators and MIC Coprocessors.
High-Performance Simulation-Based Optimization
Nouredine Melab, Jan Gmys, Mohand Mezmaz, Daniel Tuyttens
2020 J jnl
Parallel surrogate-assisted optimization: Batched Bayesian Neural Network-assisted GA versus q-EGO.
Swarm Evol. Comput.
Guillaume Briffoteaux, Maxime Gobert, Romain Ragonnet, Jan Gmys, Mohand Mezmaz, Nouredine Melab, Daniel Tuyttens
2020 J jnl
Solving large permutation flow-shop scheduling problems on GPU-accelerated supercomputers.
CoRR
Jan Gmys
2020 J jnl
Synergy between parallel computing, optimization and simulation.
J. Comput. Sci.
Nouredine Melab, Jan Gmys, Peter Korosec, Imen Chakroun
2020 J jnl
Towards ultra-scale Branch-and-Bound using a high-productivity language.
Future Gener. Comput. Syst.
Tiago Carneiro, Jan Gmys, Nouredine Melab, Daniel Tuyttens
2019 — conf
Surrogate-Assisted Optimization for Multi-stage Optimal Scheduling of Virtual Power Plants.
HPCS
Maxime Gobert, Jan Gmys, Jean-François Toubeau, François Vallée, Nouredine Melab, Daniel Tuyttens
2018 — conf
Dynamic Configuration of CUDA Runtime Variables for CDP-Based Divide-and-Conquer Algorithms.
VECPAR
Tiago Carneiro, Jan Gmys, Nouredine Melab, Francisco Heron de Carvalho Junior, Pedro Pedrosa Rebouças Filho, Daniel Tuyttens
2018 J jnl
GPU-accelerated backtracking using CUDA Dynamic Parallelism.
Concurr. Comput. Pract. Exp.
Tiago Carneiro Pessoa, Jan Gmys, Francisco Heron de Carvalho Junior, Nouredine Melab, Daniel Tuyttens
2018 J jnl
Multi-core
Future Gener. Comput. Syst.
Nouredine Melab, Jan Gmys, Mohand-Said Mezmaz, Daniel Tuyttens
2018 — conf
Optimal Solving of Permutation-based Optimization Problems on Heterogeneous CPU/GPU Clusters.
HPCS
Jan Gmys
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
2017 J jnl
IVM-based parallel branch-and-bound using hierarchical work stealing on multi-GPU systems.
Concurr. Comput. Pract. Exp.
Jan Gmys, Mohand Mezmaz, Nouredine Melab, Daniel Tuyttens
2016 C conf
A GPU-Based Backtracking Algorithm for Permutation Combinatorial Problems.
ICA3PP
Tiago Carneiro Pessoa, Jan Gmys, Nouredine Melab, Francisco Heron de Carvalho Junior, Daniel Tuyttens
2016 J jnl
A GPU-based Branch-and-Bound algorithm using Integer-Vector-Matrix data structure.
Parallel Comput.
Jan Gmys, Mohand-Said Mezmaz, Nouredine Melab, Daniel Tuyttens
2016 J jnl
Work stealing with private integer-vector-matrix data structure for multi-core branch-and-bound algorithms.
Concurr. Comput. Pract. Exp.
Jan Gmys, Rudi Leroy, Mohand Mezmaz, Nouredine Melab, Daniel Tuyttens
2015 — conf
IVM-Based Work Stealing for Parallel Branch-and-Bound on GPU.
PPAM (1)
Jan Gmys, Mohand Mezmaz, Nouredine Melab, Daniel Tuyttens