Martin Beseda

15 papers C 1Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Longitudinal Analysis of the CEC Single-Objective Competitions (2010-2024) and Implications for Variational Quantum Optimization.
CoRR
Vojtech Novák, Tomás Bezdek, Ivan Zelinka, Swagatam Das, Martin Beseda
2026 J jnl
A kernel-based approach for accurate steady-state detection in performance time series.
Future Gener. Comput. Syst.
Martin Beseda, Vittorio Cortellessa, Daniele Di Pompeo, Luca Traini, Michele Tucci
2025 J jnl
A Kernel-Based Approach for Accurate Steady-State Detection in Performance Time Series.
CoRR
Martin Beseda, Vittorio Cortellessa, Daniele Di Pompeo, Luca Traini, Michele Tucci
2025 — conf
A Preliminary Investigation on the Usage of Quantum Approximate Optimization Algorithms for Test Case Selection.
EASE Companion
Antonio Trovato, Martin Beseda, Dario Di Nucci
2025 J jnl
A Preliminary Investigation on the Usage of Quantum Approximate Optimization Algorithms for Test Case Selection.
CoRR
Antonio Trovato, Martin Beseda, Dario Di Nucci
2025 J jnl
Classical Optimization Strategies for Variational Quantum Algorithms: A Systematic Study of Noise Effects and Parameter Efficiency.
CoRR
Tomás Bezdek, Haomu Yuan, Vojtech Novák, Silvie Illésová, Martin Beseda
2025 J jnl
From Classical to Hybrid: A Practical Framework for Quantum-Enhanced Learning.
CoRR
Silvie Illésová, Tomás Bezdek, Vojtech Novák, Ivan Zelinka, Stefano Cacciatore, Martin Beseda
2025 J jnl
Numerical Optimization Strategies for the Variational Hamiltonian Ansatz in Noisy Quantum Environments.
CoRR
Silvie Illésová, Vojtech Novák, Tomás Bezdek, C. Possel, Martin Beseda
2024 J jnl
State-Averaged Orbital-Optimized VQE: A quantum algorithm for the democratic description of ground and excited electronic states.
J. Open Source Softw.
Martin Beseda, Silvie Illésová, Saad Yalouz, Bruno Senjean
2022 C conf
How Quantum Computing-Friendly Multispectral Data can be?
IGARSS
Manish K. Gupta, Martin Beseda, Piotr Gawron
2019 — conf
Analysis and Visualization of the Dynamic Behavior of HPC Applications.
HPCSE
Ondrej Vysocky, Ivo Peterek, Martin Beseda, Matej Spetko, David Ulcak, Lubomir Riha
2019 J jnl
Domain knowledge specification for energy tuning.
Concurr. Comput. Pract. Exp.
Madhura Kumaraswamy, Anamika Chowdhury, Michael Gerndt, Zakaria Bendifallah, Othman Bouizi, Uldis Locans, Lubomír Ríha, Ondrej Vysocky, Martin Beseda, Jan Zapletal
2017 — conf
MERIC and RADAR Generator: Tools for Energy Evaluation and Runtime Tuning of HPC Applications.
HPCSE
Ondrej Vysocky, Martin Beseda, Lubomír Ríha, Jan Zapletal, Michael Lysaght, Venkatesh Kannan
2017 J jnl
The READEX formalism for automatic tuning for energy efficiency.
Computing
Joseph Schuchart, Michael Gerndt, Per Gunnar Kjeldsberg, Michael Lysaght, David Horák, Lubomír Ríha, Andreas Gocht, Mohammed Sourouri, Madhura Kumaraswamy, Anamika Chowdhury, Magnus Jahre, Kai Diethelm, Othman Bouizi, Umbreen Sabir Mian, Jakub Kruzík, Radim Sojka, Martin Beseda, Venkatesh Kannan, Zakaria Bendifallah, Daniel Hackenberg, Wolfgang E. Nagel
2016 — conf
Energy consumption optimization of the Total-FETI solver and BLAS routines by changing the CPU frequency.
HPCS
David Horák, Lubomír Ríha, Radim Sojka, Jakub Kruzik, Martin Beseda