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, doc. 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

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

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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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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KUNÍK, O.; JAROŠ, J. Accelerating Hybrid Local Domain Decomposition for the k-Wave Toolbox on Multi-GPU Systems. Ostrava: 2024. p. 0-0.
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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. 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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MAJER, M.; HORKÝ, J.; VÁVRA, J.; JAROŠ, J.: riscv-sim; Web-Based Simulator of Superscalar RISC-V Processors. Zdrojové kódy: https://github.com/Sekky61/riscv-sim Živá instalace: https://sc-nas.fit.vutbr.cz/riscv-sim. URL: https://www.fit.vut.cz/research/product/834/. (software)
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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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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. Biomedical Signal Processing and Control, 2025, vol. 99, no. 1, p. 1-11. ISSN: 1746-8108.
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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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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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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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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. p. 0-0. ISBN: 979-8-3503-5934-3.
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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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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. p. 1-3. ISSN: 1664-1078.
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MRÁZEK, V.: autoax; autoAx: An Open-Source Automated Design Space Exploration Framework for Approximate Accelerators in FPGAs and ASICs. https://github.com/ehw-fit/autoax. URL: https://github.com/ehw-fit/autoax. (software)
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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. p. 0-0.
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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. p. 85-109. ISBN: 978-3-031-28485-4. ISSN: 0302-9743.
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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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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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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. p. 0-0.
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Responsibility: Sekanina Lukáš, prof. Ing., Ph.D.