Project Details

Application-specific HW/SW architectures and their applications

Project Period: 1. 3. 2023 – 28. 2. 2026

Project Type: grant

Code: FIT-S-23-8141

Agency: Brno University of Technology

Program: Vnitřní projekty VUT

Type
grant
Abstract

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.

Team members
Sekanina Lukáš, prof. Ing., Ph.D. (DCSY) – research leader
Bardonek Petr, Ing. (DCSY)
Bidlo Michal, doc. Ing., Ph.D. (DCSY)
Blašková Barbora, Ing. (DCSY)
Duchoň Radek, Ing.
Fukač Tomáš, Ing., Ph.D. (DCSY)
Hejcman Lukáš, Ing.
Hurta Martin, Ing. (DCSY)
Husa Jakub, Ing., Ph.D. (DCSY)
Hussain Yasir (DCSY)
Chlebík Jakub, Ing. (DCSY)
Jaroš Jiří, doc. Ing., Ph.D. (DCSY)
Jaroš Marta, Ing., Ph.D. (DCSY)
Jawed Soyiba, Dr., MSc (Automata@FIT)
Kadlubiak Kristián, Ing. (DCSY)
Kekely Lukáš, Ing., Ph.D. (DCSY)
Kekely Michal, Ing., Ph.D.
Klhůfek Jan, Ing. (DCSY)
Kocnová Jitka, Ing., Ph.D. (RG EHW)
Kučera Jan, Ing., Ph.D. (DCSY)
Malik Aamir Saeed, prof., Ph.D. (DCSY)
Martínek Tomáš, doc. Ing., Ph.D. (DCSY)
Mrázek Vojtěch, Ing., Ph.D. (DCSY)
Olšák Ondřej, Ing. (DCSY)
Orsák Michal, Ing. (DCSY)
Pánek Richard, Ing., Ph.D. (DCSY)
Piňos Michal, Ing. (DCSY)
Růžička Richard, doc. Ing., Ph.D., MBA (DCSY)
Strnadel Josef, Ing., Ph.D. (DCSY)
Šimek Václav, Ing. (DCSY)
Šišmiš Lukáš, Ing. (DCSY)
Tisovčík Peter, Ing.
Vašíček Zdeněk, doc. Ing., Ph.D. (DCSY)
Zaheer Muhammad Asad (DCSY)
Publications

2024

  • 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. Detail
  • 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. Detail
  • 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. Detail
  • 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. Detail
  • JAROŠ, M.; JAROŠ, J. k-Dispatch: Enabling Cost-Optimized Biomedical Workflow Offloading. 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. Detail
  • JAWED, S.; FAYE, I.; MALIK, A. Deep learning-based assessment model for Real-time identification of visual learners using Raw EEG. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2024, vol. 32, no. 1, p. 378-390. ISSN: 1558-0210. Detail
  • OLŠÁK, O.; JAROŠ, J. Techniques for Efficient Fourier Transform Computation in Ultrasound Simulations. 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. Detail
  • 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. Detail
  • SEKANINA, L. Tutorial: Evolutionary Design Methods in Electronic Design Automation. IEEE 42nd International Conference on Computer Design (ICCD). Milano: IEEE Computer Society, 2024. p. 689-690. ISBN: 979-8-3503-8040-8. Detail

2023

  • 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. Detail
  • 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. Detail
  • 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. Detail
  • 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. Detail
  • 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. Detail
  • 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. Detail
  • 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. Detail
  • 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. Detail
  • 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. Detail
  • 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. Detail
  • 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. Detail
  • 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. Detail
  • RŮŽIČKA, R.; ŠIMEK, V.; NEVORAL, J. Polymorphic RTL Computational Elements. Proceedings of the DSD 2023. Durres: IEEE Computer Society, 2023. p. 523-530. ISBN: 979-8-3503-4419-6. Detail
  • 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. Detail
  • 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. Detail
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