Together with introducing new applications and their implementations based on application-specific HW/SW architectures, the development of new design methods is highly desired. The motivation is that they could uniquely exploit the properties of these applications and HW/SW platforms to maximize performance and efficiency. The aim of this project is to create new algorithms and hardware platforms applicable in the design of highly application-specific computer-based systems, and demonstrate their effectiveness in selected applications.

FIT-S-23-8141

Czech

Sekanina Lukáš, prof. Ing., Ph.D. - principal person responsible
Bardonek Petr, Ing. - fellow researcher
Bidlo Michal, doc. Ing., Ph.D. - fellow researcher
Blašková Barbora, Ing. - fellow researcher
Duchoň Radek, Ing. - fellow researcher
Fukač Tomáš, Ing., Ph.D. - fellow researcher
Hejcman Lukáš, Ing. - fellow researcher
Hurta Martin, Ing. - fellow researcher
Husa Jakub, Ing., Ph.D. - fellow researcher
Hussain Yasir - fellow researcher
Chlebík Jakub, Ing. - fellow researcher
Jaroš Jiří, prof. Ing., Ph.D. - fellow researcher
Jaroš Marta, Ing., Ph.D. - fellow researcher
Jawed Soyiba, Dr., MSc - fellow researcher
Kadlubiak Kristián, Ing. - fellow researcher
Kekely Lukáš, Ing., Ph.D. - fellow researcher
Kekely Michal, Ing., Ph.D. - fellow researcher
Klhůfek Jan, Ing. - fellow researcher
Kocnová Jitka, Ing., Ph.D. - fellow researcher
Kučera Jan, Ing., Ph.D. - fellow researcher
Malik Aamir Saeed, prof., Ph.D. - fellow researcher
Martínek Tomáš, doc. Ing., Ph.D. - fellow researcher
Mrázek Vojtěch, Ing., Ph.D. - fellow researcher
Olšák Ondřej, Ing. - fellow researcher
Orsák Michal, Ing. - fellow researcher
Pánek Richard, Ing., Ph.D. - fellow researcher
Piňos Michal, Ing. - fellow researcher
Růžička Richard, doc. Ing., Ph.D., MBA - fellow researcher
Strnadel Josef, Ing., Ph.D. - fellow researcher
Šimek Václav, Ing. - fellow researcher
Šišmiš Lukáš, Ing. - fellow researcher
Tisovčík Peter, Ing. - fellow researcher
Vašíček Zdeněk, doc. Ing., Ph.D. - fellow researcher
Zaheer Muhammad Asad - fellow researcher

Department of Computer Systems
- internal (1.1.2023 - 31.12.2025)
Faculty of Information Technology
- beneficiary (1.1.2023 - 31.12.2025)

MRÁZEK, V.: xx; autoAx: An Open-Source Automated Design Space Exploration Framework for Approximate Accelerators in FPGAs and ASICs. xx. URL: https://github.com/ehw-fit/autoax. (Software)
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MAJER, M.; HORKÝ, J.; VÁVRA, J.; JAROŠ, J.: xx; Web-Based Simulator of Superscalar RISC-V Processors. xx. URL: https://www.fit.vut.cz/research/product/834/. (Software)
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OLŠÁK, O.; BAYER, D.; JAROŠ, J. Accelerating Two-Dimensional k-Wave Ultrasound Simulations Through Pruned FFT: A Treatment Planning Optimisation. Computational Science - ICCS 2025 Workshops. Lecture Notes in Computer Science, vol 15908. Cham: Springer Nature Switzerland AG, 2025. p. 67-82. ISBN: 978-3-031-97557-8.
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SHAIKH, U.; SHAHZAIB, M.; SHAKIL, S.; BHATTI, F.; MALIK, A. Robust and Adaptive Terrain Classification and Gait Event Detection System. Heliyon, 2023, vol. 9, no. 11, p. 1-12. ISSN: 2405-8440.
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OLŠÁK, O.; JAROŠ, J. Accelerating Ultrasound Wave Propagation Simulations using Pruned FFT. 2024 IEEE International Conference on High Performance Computing and Communications (HPCC). IEEE International Conference on High Performance Computing and Communications. Wuhan: IEEE Computer Society, 2025. p. 168-173. ISBN: 979-8-3315-4046-3.
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MOINUDDIN, M.; ZERGUINE, A.; ARIF, M. A Weighted Gaussian Kernel Least Mean Square Algorithm. CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2023, vol. 42, no. 9, p. 5267-5288. ISSN: 0278-081X.
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OLŠÁK, O.; JAROŠ, J. Techniques for Efficient Fourier Transform Computation in Ultrasound Simulations. In HPDC '24: Proceedings of the 33nd International Symposium on High-Performance Parallel and Distributed Computing. New York: Association for Computing Machinery, 2024. p. 361-363. ISBN: 979-8-4007-0413-0.
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BARDONEK, P.; ZACHARIÁŠOVÁ, M. Control Flow Analysis for Bottom-up Portable Models Creation. DVCon Europe 2023; Design and Verification Conference and Exhibition Europe. Mnichov: VDE VERLAG, 2023. p. 65-70. ISBN: 978-3-8007-6205-7.
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AMIN, H.; AHMED, A.; YUSOFF, M.; MOHAMAD SAAD, M.; MALIK, A. A neurophysiological model based on resting state EEG functional connectivity features for assessing semantic long-term memory performance. 2025, vol. 99, no. 1, p. 1-11. ISSN: 1746-8108.
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RŮŽIČKA, R.; ŠIMEK, V.; NEVORAL, J. Polymorphic RTL Computational Elements. In Proceedings of the DSD 2023. Durres: IEEE Computer Society, 2023. p. 523-530. ISBN: 979-8-3503-4419-6.
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JAROŠ, J.; MAJER, M.; HORKÝ, J.; VÁVRA, J. Web-Based Simulator of Superscalar RISC-V Processors. In Proceedings of SC 2024-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis. Atlanta, GA: Institute of Electrical and Electronics Engineers, 2024. p. 1676-1684. ISBN: 979-8-3503-5554-3.
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BOSIO, A.; BERNARDI, P.; TRAIOLA, M.; MRÁZEK, V. 28th International Symposium on Design and Diagnostics of Electronic Circuits & Systems. Lyon: Institute of Electrical and Electronics Engineers, 2025. 168 p. ISBN: 979-8-3315-2801-0.
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SEDLÁK, D.; KLHŮFEK, J.; MRÁZEK, V.; VAŠÍČEK, Z. Towards Efficient Scheduling of Transformer Neural Network Computation for Edge AI Deployment. Proceedings of the Genetic and Evolutionary Computation Conference Companion. Malaga: Association for Computing Machinery, 2025. p. 2242-2248. ISBN: 979-8-4007-1464-1.
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DENIZIAK, S.; SITEK, P.; JENIHHIN, M.; STEININGER, A.; SCHÖLZEL, M.; MRÁZEK, V. 27th International Symposium on Design and Diagnostics of Electronic Circuits & Systems. Kliece: Institute of Electrical and Electronics Engineers, 2024. 155 p. ISBN: 979-8-3503-5934-3.
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OLŠÁK, O.; JAROŠ, J. On the usage of the Sparse Fourier Transform in ultrasound propagation simulation. In ICBRA '23: Proceedings of the 10th International Conference on Bioinformatics Research and Applications. New York: Association for Computing Machinery, 2024. p. 107-113. ISBN: 979-8-4007-0815-2.
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AMIN, H.; ULLAH, R.; REZA, M.; MALIK, A. Single-trial extraction of event-related potentials (ERPs) and classification of visual stimuli by ensemble use of discrete wavelet transform with Huffman coding and machine learning techniques. Journal of NeuroEngineering and Rehabilitation, 2023, vol. 20, no. 1, p. 1-17. ISSN: 1743-0003.
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ŠIŠMIŠ, L.; KOŘENEK, J. Analysis of TLS Prefiltering for IDS Acceleration. In Passive and Active Measurement 2023. Lecture Notes in Computer Science. Lecture Notes in Computer Science. Madrid: Springer Nature Switzerland AG, 2023. no. 13882, p. 85-109. ISBN: 978-3-031-28485-4. ISSN: 0302-9743.
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JAROŠ, J.; DUCHOŇ, R. Acceleration of Ultrasound Neurostimulation Using Mixed-Precision Arithmetic. HPDC '24: Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing. New York: Association for Computing Machinery, 2024. p. 370-372. ISBN: 979-8-4007-0413-0.
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HURTA, M.; MRÁZEK, V.; DRAHOŠOVÁ, M.; SEKANINA, L. ADEE-LID: Automated Design of Energy-Efficient Hardware Accelerators for Levodopa-Induced Dyskinesia Classifiers. In 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE). Antwerp: Institute of Electrical and Electronics Engineers, 2023. p. 1-2. ISBN: 978-3-9819263-7-8.
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PIŇOS, M.; MRÁZEK, V.; SEKANINA, L. Prediction of Inference Energy on CNN Accelerators Supporting Approximate Circuits. In 2023 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems. Talinn: Institute of Electrical and Electronics Engineers, 2023. p. 45-50. ISBN: 979-8-3503-3277-3.
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JAROŠ, M.; JAROŠ, J. k-Dispatch: Enabling Cost-Optimized Biomedical Workflow Offloading. In HPDC '24: Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing. New York: Association for Computing Machinery, 2024. p. 358-360. ISBN: 979-8-4007-0413-0.
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HUSA, J.; SEKANINA, L. Semantic Mutation Operator for Fast and Efficient Design of Bent Boolean Functions. Evo* 2023 -- Late-Breaking Abstracts Volume. Brno: 2023. 4 p.
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KUNÍK, O.; JAROŠ, J. Accelerating Hybrid Local Domain Decomposition for the k-Wave Toolbox on Multi-GPU Systems. Ostrava: 2024. 1 p.
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MARCHISIO, A.; BUSSOLINO, B.; COLUCCI, A.; MRÁZEK, V.; HANIF, M.; MARTINA, M.; MASERA, G.; SHAFIQUE, M. Hardware and Software Optimizations for Capsule Networks. In Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing. Cham: Springer Nature Switzerland AG, 2023. p. 303-328. ISBN: 978-3-031-39932-9.
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CHLEBÍK, J.; JAROŠ, J. Evolutionary Optimization of a Focused Ultrasound Propagation Predictor Neural Network. GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion. Lisbon: Association for Computing Machinery, 2023. p. 635-638. ISBN: 979-8-4007-0120-7.
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HURTA, M.; MRÁZEK, V.; DRAHOŠOVÁ, M.; SEKANINA, L. Multi-objective Design of Hardware Accelerators for Levodopa-Induced Dyskinesia Classifiers. Evo* 2023 -- Late-Breaking Abstracts Volume. Brno: 2023. 4 p.
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BIDLO, M.; SARANOVÁ, I. Multi-purpose Image Filter Evolution Using Cellular Automata and Function-Based Conditional Rules. In Applications of Evolutionary Computation: 28th European Conference, EvoApplications 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23-25, 2025, Proceedings, Part II. Lecture Notes in Computer Science. Trieste: Springer Nature Switzerland AG, 2025. p. 457-472. ISBN: 978-3-031-90064-8.
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KEKELY, M.; KOŘENEK, J. Optimizing Packet Classification on FPGA. In PROCEEDINGS 2023 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS). IEEE International Symposium on Design and Diagnostics of Electronic Circuits & Systems. Tallinn: Institute of Electrical and Electronics Engineers, 2023. p. 7-12. ISBN: 979-8-3503-3277-3. ISSN: 2334-3133.
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MALIK, A.; HUSSAIN, M.; CHAUDHARY, S. Editorial: From assessment to intervention: role of consumer technology and neurotech in preventive mental health. Frontiers in Psychology. 2024. no. 1, p. 1-3. ISSN: 1664-1078.
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HUSSAIN, Y.; AMNA, R.; MALIK, A. ECG and EEG Analysis of Brain-Heart Interactions During Seizure Episodes. 2025 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). Chemnitz: IEEE Computer Society, 2025. p. 1-6. ISBN: 979-8-3315-0500-4.
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MAHRUKH, R.; SHAKIL, S.; MALIK, A. Sentiments analysis of fMRI using automatically generated stimuli labels under naturalistic paradigm. Scientific Reports, 2023, vol. 13, no. 1, p. 1-15. ISSN: 2045-2322.
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LOJDA, J.; PÁNEK, R.; SEKANINA, L.; KOTÁSEK, Z. Automated Design and Usage of the Fault-Tolerant Dynamic Partial Reconfiguration Controller for FPGAs. MICROELECTRONICS RELIABILITY, 2023, vol. 2023, no. 144, p. 1-16. ISSN: 0026-2714.
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GOLDSCHMIDT, P.; KUČERA, J. Windower: Feature Extraction for Real-Time DDoS Detection Using Machine Learning. NOMS 2024-2024 IEEE Network Operations and Management Symposium. Seoul: Institute of Electrical and Electronics Engineers, 2024. p. 1-10. ISBN: 979-8-3503-2793-9.
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JAROŠ, J.; JAROŠ, M.; BUCHTA, M. Estimation of Distributed Ultrasound Simulation Execution Time Using Machine Learning. In 2024 IEEE Congress on Evolutionary Computation (CEC). Yokohama: Institute of Electrical and Electronics Engineers, 2024. p. 1-8. ISBN: 979-8-3503-0836-5.
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SEKANINA, L. Tutorial: Evolutionary Design Methods in Electronic Design Automation. In IEEE 42nd International Conference on Computer Design (ICCD). Milano: IEEE Computer Society, 2024. p. 689-690. ISBN: 979-8-3503-8040-8.
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JAROŠ, J.; MAJER, M.; HORKÝ, J.; VÁVRA, J. Web-Based Simulator of Superscalar RISC-V Processors. Atlanta, GA: 2024. p. 1-2.
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STRNADEL, J.; LOJDA, J.; SMRŽ, P.; ŠIMEK, V. Machine Learning in Context of IoT/Edge Devices and LoLiPoP-IoT Project. In Proceedings of 32nd Austrian Workshop on Microelectronics (Austrochip 2024). Vienna: Institute of Electrical and Electronics Engineers, US, 2024. p. 1-4. ISBN: 979-8-3315-1617-8.
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SEDLÁK, D.; BIDLO, M.; CERVENKA, M. Action-based Representation for Stochastic Optimization of Complex Real-World RVRP. In 2025 IEEE Congress on Evolutionary Computation, CEC 2025. Hangzhou: Institute of Electrical and Electronics Engineers, 2025. p. 1-4. ISBN: 979-8-3315-3431-8.
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PÁNEK, R.; LOJDA, J. The Fault-tolerant Single-FPGA Systems with a Self-repair Reconfiguration Controller. In LASCAS 2023 - 14th IEEE Latin American Symposium on Circuits and Systems, Proceedings. Quito: Institute of Electrical and Electronics Engineers, 2023. p. 104-107. ISBN: 978-1-6654-5705-7.
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HUYNH, N.; ZHANG, E.; FRANCIES, O.; KUKLIŠ, F.; ALLEN, T.; ZHU, J.; ABEYAKOON, O.; LUCKA, F.; BETCKE, M.; JAROŠ, J.; ARRIDGE, S.; COX, B.; PLUMB, A.; BEARD, P. A fast all-optical 3D photoacoustic scanner for clinical vascular imaging. Nature Biomedical Engineering, 2024, vol. 8, no. 10, p. 1-18. ISSN: 2157-846X.
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Responsibility: Sekanina Lukáš, prof. Ing., Ph.D.