Energy consumption optimization of the Total-FETI solver and BLAS routines by changing the CPU frequency. - David Horák; Lubomír Ríha; Radim Sojka; Jakub Kruzik; Martin Beseda (HPCS, 2016)

MERIC and RADAR Generator: Tools for Energy Evaluation and Runtime Tuning of HPC Applications. - Ondrej Vysocky; Martin Beseda; Lubomír Ríha; Jan Zapletal; Michael Lysaght; Venkatesh Kannan (HPCSE, 2017)

The READEX formalism for automatic tuning for energy efficiency. - 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; et al. (Computing, 2017)

Analysis and Visualization of the Dynamic Behavior of HPC Applications. - Ondrej Vysocky; Ivo Peterek; Martin Beseda; Matej Spetko; David Ulcak; Lubomir Riha (HPCSE, 2019)

Domain knowledge specification for energy tuning. - Madhura Kumaraswamy; Anamika Chowdhury; Michael Gerndt; Zakaria Bendifallah; Othman Bouizi; Uldis Locans; Lubomír Ríha; Ondrej Vysocky; Martin Beseda; Jan Zapletal (Concurr. Comput. Pract. Exp., 2019)

How Quantum Computing-Friendly Multispectral Data can be? - Manish K. Gupta; Martin Beseda; Piotr Gawron (IGARSS, 2022)

State-Averaged Orbital-Optimized VQE: A quantum algorithm for the democratic description of ground and excited electronic states. - Martin Beseda; Silvie Illésová; Saad Yalouz; Bruno Senjean (J. Open Source Softw., 2024)

A Preliminary Investigation on the Usage of Quantum Approximate Optimization Algorithms for Test Case Selection. - Antonio Trovato; Martin Beseda; Dario Di Nucci (CoRR, 2025)

Numerical Optimization Strategies for the Variational Hamiltonian Ansatz in Noisy Quantum Environments. - Silvie Illésová; V. Novák; T. Bezdek; C. Possel; Martin Beseda (CoRR, 2025)

A Kernel-Based Approach for Accurate Steady-State Detection in Performance Time Series. - Martin Beseda; Vittorio Cortellessa; Daniele Di Pompeo; Luca Traini; Michele Tucci 001 (CoRR, 2025)