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., Ph.D. (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., Ph.D. (UPSY FIT VUT)
Kučera Jan, Ing. (UPSY FIT VUT)
Kuník Oliver, Ing. (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)
Plevač Lukáš, Ing. (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

  • DENIZIAK Stanisław, SITEK Paweł, JENIHHIN Maksim, STEININGER Andreas, SCHÖLZEL Mario and MRÁZEK Vojtěch, ed. 27th International Symposium on Design and Diagnostics of Electronic Circuits & Systems. Kliece: Institute of Electrical and Electronics Engineers, 2024. ISBN 979-8-3503-5934-3. Detail
  • HUYNH Trung Nam, ZHANG Edward, FRANCIES Olivia, KUKLIŠ Filip, ALLEN Thomas, ZHU Jiaqi, ABEYAKOON Oshaani, LUCKA Felix, BETCKE Marta, JAROŠ Jiří, ARRIDGE Simon, COX Ben T., PLUMB Andrew and BEARD Paul. A fast all-optical 3D photoacoustic scanner for clinical vascular imaging. Nature Biomedical Engineering, vol. 8, no. 10, 2024, pp. 1-18. ISSN 2157-846X. Detail
  • AMIN Ullah Hafeez, AHMED Amr, YUSOFF Zuki Mohd, MOHAMAD Saad Mohamad Naufal and MALIK Aamir Saeed. A neurophysiological model based on resting state EEG functional connectivity features for assessing semantic long-term memory performance. Biomedical Signal Processing and Control, vol. 99, no. 1, 2024, pp. 1-9. ISSN 1746-8108. Detail
  • JAROŠ Jiří and DUCHOŇ Radek. Acceleration of Ultrasound Neurostimulation Using Mixed-Precision Arithmetic. In: HPDC '24: Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing. New York: Association for Computing Machinery, 2024, pp. 370-372. ISBN 979-8-4007-0413-0. 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
  • JAROŠ Jiří, JAROŠ Marta and BUCHTA Martin. 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, pp. 1-8. ISBN 979-8-3503-0836-5. Detail
  • JAROŠ Marta and JAROŠ Jiří. 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, pp. 358-360. ISBN 979-8-4007-0413-0. Detail
  • STRNADEL Josef, LOJDA Jakub, SMRŽ Pavel and ŠIMEK Václav. 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, 2024, pp. 1-4. ISBN 979-8-3315-1617-8. Detail
  • OLŠÁK Ondřej and JAROŠ Jiří. 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, pp. 107-113. ISBN 979-8-4007-0815-2. Detail
  • OLŠÁK Ondřej and JAROŠ Jiří. 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, pp. 361-363. ISBN 979-8-4007-0413-0. Detail
  • SEKANINA Lukáš. Tutorial: Evolutionary Design Methods in Electronic Design Automation. In: IEEE 42nd International Conference on Computer Design (ICCD). Milano: IEEE Computer Society, 2024, pp. 689-690. ISBN 979-8-3503-8040-8. Detail
  • GOLDSCHMIDT Patrik and KUČERA Jan. Windower: Feature Extraction for Real-Time DDoS Detection Using Machine Learning. In: NOMS 2024-2024 IEEE Network Operations and Management Symposium. Seoul: Institute of Electrical and Electronics Engineers, 2024, pp. 1-10. ISBN 979-8-3503-2793-9. 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
  • MARCHISIO Alberto, BUSSOLINO Beatrice, COLUCCI Alessio, MRÁZEK Vojtěch, HANIF Muhammad A., MARTINA Mauricio, MASERA Guido and SHAFIQUE Muhammad. Hardware and Software Optimizations for Capsule Networks. Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing. Cham: Springer Nature Switzerland AG, 2023, pp. 303-328. ISBN 978-3-031-39932-9. 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

2024

  • Web-Based Simulator of Superscalar RISC-V Processors, software, 2024
    Authors: Majer Michal, Horký Jakub, Vávra Jan, Jaroš Jiří Detail

2023

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