Project Details

Application-specific HW/SW architectures and their applications

Project Period: 1. 3. 2023 - 31. 12. 2025

Project Type: grant

Code: FIT-S-23-8141

Agency: Brno University of Technology

Program: Vnitřní projekty VUT

Czech title
Aplikačně specifické HW/SW architektury a jejich aplikace
Type
grant
Keywords

accelerator, field programmable gate array, supercomputer, approximate computing, evolutionary algorithm, network monitoring, neuroengineering

Abstract

Concurrently with introducing new applications and their implementations based on application-specific HW/SW architectures, the development of new design methods for them is highly desired. The motivation is that these methods could uniquely exploit the properties of new 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. (UPSY FIT VUT) , research leader
Bardonek Petr, Ing. (UPSY FIT VUT)
Bayer David, Ing. (FIT VUT)
Bidlo Michal, doc. Ing., Ph.D. (UPSY FIT VUT)
Blašková Barbora, Ing. (FIT VUT)
Duchoň Radek, Ing. (FIT VUT)
Fukač Tomáš, Ing. (UPSY FIT VUT)
Hejcman Lukáš, Ing. (FIT VUT)
Hurta Martin, Ing. (UPSY FIT VUT)
Husa Jakub, Ing. (UPSY FIT VUT)
Hussain Yasir (UPSY FIT VUT)
Chlebík Jakub, Ing. (UPSY FIT VUT)
Jaroš Jiří, doc. Ing., Ph.D. (UPSY FIT VUT)
Jaroš Marta, Ing., PhD. (UPSY FIT VUT)
Jawed Soyiba, Ph.D. (UPSY FIT VUT)
Kadlubiak Kristián, Ing. (UPSY FIT VUT)
Kekely Lukáš, Ing., Ph.D. (UPSY FIT VUT)
Kekely Michal, Ing. (UPSY FIT VUT)
Klhůfek Jan, Ing. (FIT VUT)
Kocnová Jitka, Ing. (UPSY FIT VUT)
Kučera Jan, Ing. (UPSY FIT VUT)
Malik Aamir Saeed, Ph.D. (UPSY FIT VUT)
Martínek Tomáš, doc. Ing., Ph.D. (UPSY FIT VUT)
Mrázek Vojtěch, Ing., Ph.D. (UPSY FIT VUT)
Olšák Ondřej, Ing. (UPSY FIT VUT)
Orsák Michal, Ing. (UPSY FIT VUT)
Pánek Richard, Ing. (UPSY FIT VUT)
Piňos Michal, Ing. (UPSY FIT VUT)
Růžička Richard, doc. Ing., Ph.D., MBA (UPSY FIT VUT)
Sedlák David, Ing. (FIT VUT)
Setinský Jiří, Ing. (FIT VUT)
Strnadel Josef, Ing., Ph.D. (UPSY FIT VUT)
Šimek Václav, Ing. (UPSY FIT VUT)
Šišmiš Lukáš, Ing. (UPSY FIT VUT)
Tisovčík Peter, Ing. (UPSY FIT VUT)
Vašíček Zdeněk, doc. Ing., Ph.D. (UPSY FIT VUT)
Zaheer Muhammad Asad (UPSY FIT VUT)
Publications

2024

  • JAWED Soyiba, FAYE Ibrahima and MALIK Aamir Saeed. Deep learning-based assessment model for Real-time identification of visual learners using Raw EEG. IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 32, no. 1, 2024, pp. 378-390. ISSN 1558-0210. Detail
  • MALIK Aamir Saeed, HUSSAIN Muhammad and CHAUDHARY Safee Ullah. Editorial: From assessment to intervention: role of consumer technology and neurotech in preventive mental health. Frontiers in Psychology, vol. 15, no. 1, 2024. ISSN 1664-1078. Detail

2023

  • MOINUDDIN Muhammad, ZERGUINE Azzedine and ARIF Muhammad. A Weighted Gaussian Kernel Least Mean Square Algorithm. Circuits, Systems, and Signal Processing, vol. 42, no. 9, 2023, pp. 5267-5288. ISSN 0278-081X. Detail
  • HURTA Martin, MRÁZEK Vojtěch, DRAHOŠOVÁ Michaela and SEKANINA Lukáš. 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, pp. 1-2. ISBN 978-3-9819263-7-8. Detail
  • ŠIŠMIŠ Lukáš and KOŘENEK Jan. Analysis of TLS Prefiltering for IDS Acceleration. In: Passive and Active Measurement 2023. Lecture Notes in Computer Science, vol. 2023. Madrid: Springer Nature Switzerland AG, 2023, pp. 85-109. ISBN 978-3-031-28485-4. ISSN 0302-9743. Detail
  • LOJDA Jakub, PÁNEK Richard, SEKANINA Lukáš and KOTÁSEK Zdeněk. Automated Design and Usage of the Fault-Tolerant Dynamic Partial Reconfiguration Controller for FPGAs. Microelectronics Reliability, vol. 2023, no. 144, pp. 1-16. ISSN 0026-2714. Detail
  • BARDONEK Petr and ZACHARIÁŠOVÁ Marcela. Control Flow Analysis for Bottom-up Portable Models Creation. In: DVCon Europe 2023; Design and Verification Conference and Exhibition Europe. Mnichov: VDE VERLAG, 2023, pp. 65-70. ISBN 978-3-8007-6205-7. Detail
  • CHLEBÍK Jakub and JAROŠ Jiří. 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. ISBN 979-8-4007-0120-7. Detail
  • HURTA Martin, MRÁZEK Vojtěch, DRAHOŠOVÁ Michaela and SEKANINA Lukáš. Multi-objective Design of Hardware Accelerators for Levodopa-Induced Dyskinesia Classifiers. Evo* 2023 -- Late-Breaking Abstracts Volume. Brno, 2023. Detail
  • KEKELY Michal and KOŘENEK Jan. Optimizing Packet Classification on FPGA. In: PROCEEDINGS 2023 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS). Tallinn: Institute of Electrical and Electronics Engineers, 2023, pp. 7-12. ISBN 979-8-3503-3277-3. ISSN 2334-3133. Detail
  • RŮŽIČKA Richard, ŠIMEK Václav and NEVORAL Jan. Polymorphic RTL Computational Elements. In: Proceedings of the DSD 2023. Durres: IEEE Computer Society, 2023, pp. 523-530. ISBN 979-8-3503-4419-6. Detail
  • PIŇOS Michal, MRÁZEK Vojtěch and SEKANINA Lukáš. 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, pp. 45-50. ISBN 979-8-3503-3277-3. Detail
  • SHAIKH Qamar Usman, SHAHZAIB Muhammad, SHAKIL Sadia, BHATTI A. Farrukh and MALIK Aamir Saeed. Robust and Adaptive Terrain Classification and Gait Event Detection System. Heliyon, vol. 9, no. 11, 2023, pp. 1-12. ISSN 2405-8440. Detail
  • HUSA Jakub and SEKANINA Lukáš. Semantic Mutation Operator for Fast and Efficient Design of Bent Boolean Functions. Evo* 2023 -- Late-Breaking Abstracts Volume. Brno, 2023. Detail
  • MAHRUKH Rimsha, SHAKIL Sadia and MALIK Aamir Saeed. Sentiments Analysis of fMRI using Automatically Generated Stimuli Labels under Naturalistic Paradigm. Scientific Reports, vol. 13, no. 7267, 2023, pp. 1-15. ISSN 2045-2322. Detail
  • AMIN Ullah Hafeez, ULLAH Rafi, REZA Faruque Mohammed and MALIK Aamir Saeed. 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, vol. 20, no. 70, 2023, pp. 1-17. ISSN 1743-0003. Detail
  • PÁNEK Richard and LOJDA Jakub. 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, pp. 104-107. ISBN 978-1-6654-5705-7. Detail
Products

2023

  • autoAx: An Open-Source Automated Design Space Exploration Framework for Approximate Accelerators in FPGAs and ASICs, software, 2023
    Authors: Mrázek Vojtěch Detail
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