Ústav počítačových systémů

2023

  • QADRI Syed Safi Uddin, ARIF Muhammad a SAEED Bin Omer Muhammad. A Novel Variable Step-Size LMS Algorithm for Decentralized Incremental Distributed Networks. Circuits, Systems, and Signal Processing, roč. 41, č. 12, 2023, s. 7226-7249. ISSN 0278-081X. Detail
  • MOINUDDIN Muhammad, ZERGUINE Azzedine a ARIF Muhammad. A Weighted Gaussian Kernel Least Mean Square Algorithm. Circuits, Systems, and Signal Processing, roč. 42, č. 9, 2023, s. 5267-5288. ISSN 0278-081X. Detail
  • KOŠAŘ Vlastimil, ŠIŠMIŠ Lukáš, MATOUŠEK Jiří a KOŘENEK Jan. Accelerating IDS Using TLS Pre-Filter in FPGA. In: 2023 IEEE Symposium on Computers and Communications (ISCC). Tunis: IEEE Computer Society, 2023, s. 436-442. ISBN 979-8-3503-0048-2. Detail
  • PIŇOS Michal, MRÁZEK Vojtěch, VAVERKA Filip, VAŠÍČEK Zdeněk a SEKANINA Lukáš. Acceleration Techniques for Automated Design of Approximate Convolutional Neural Networks. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, roč. 13, č. 1, 2023, s. 212-224. ISSN 2156-3357. Detail
  • HURTA Martin, MRÁZEK Vojtěch, DRAHOŠOVÁ Michaela a 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, s. 1-2. ISBN 978-3-9819263-7-8. Detail
  • MRÁZEK Vojtěch. Approximation of Hardware Accelerators driven by Machine-Learning Models : (Embedded Tutorial). In: Proceedings of International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS '23). Tallinn: Institute of Electrical and Electronics Engineers, 2023, s. 91-92. ISBN 979-8-3503-3277-3. Detail
  • LOJDA Jakub, PÁNEK Richard, SEKANINA Lukáš a KOTÁSEK Zdeněk. Automated Design and Usage of the Fault-Tolerant Dynamic Partial Reconfiguration Controller for FPGAs. Microelectronics Reliability, roč. 2023, č. 144, s. 1-16. ISSN 0026-2714. Detail
  • MRÁZEK Vojtěch, JAWED Soyiba, ARIF Muhammad a MALIK Aamir Saeed. Effective EEG Feature Selection for Interpretable MDD (Major Depressive Disorder) Classification. In: GECCO 2023 - Proceedings of the 2023 Genetic and Evolutionary Computation Conference. Lisbon: Association for Computing Machinery, 2023, s. 1427-1435. ISBN 979-8-4007-0119-1. Detail
  • ŠÍMA Jiří, VIDNEROVÁ Petra a MRÁZEK Vojtěch. Energy Complexity Model for Convolutional Neural Networks. In: 2023, s. 12. Detail
  • SEDLÁČEK Marek a SEKANINA Lukáš. Evolution of Editing Scripts From Examples. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO '23). Lisbon: Association for Computing Machinery, 2023, s. 803-806. ISBN 979-8-4007-0120-7. Detail
  • CHLEBÍK Jakub a 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
  • KALKREUTH Roman, VAŠÍČEK Zdeněk, HUSA Jakub, VERMETTEN Diederick, YE Furong a THOMAS Bäck. General Boolean Function Benchmark Suite. In: FOGA '23: Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. Potsdam: Association for Computing Machinery, 2023, s. 84-95. ISBN 979-8-4007-0202-0. Detail
  • GIACOBINI Mario, PAPPA Gisele a VAŠÍČEK Zdeněk, ed. Genetic Programming. LNCS 13986. Cham: Springer Verlag, 2023. ISBN 978-3-031-29572-0. Detail
  • JŮZA Tadeáš a SEKANINA Lukáš. GPAM: Genetic Programming with Associative Memory. In: Genetic Programming, 26th European Conference. LNCS, roč. 13986. Cham: Springer Nature Switzerland AG, 2023, s. 68-83. ISBN 978-3-031-29573-7. Detail
  • SEKANINA Lukáš, MRÁZEK Vojtěch a PIŇOS Michal. Hardware-Aware Evolutionary Approaches to Deep Neural Networks. Handbook of Evolutionary Machine Learning. Genetic and Evolutionary Computation. Singapore: Springer Nature Singapore, 2023, s. 367-396. ISBN 978-981-9938-13-1. Detail
  • HURTA Martin, MRÁZEK Vojtěch, DRAHOŠOVÁ Michaela a SEKANINA Lukáš. MODEE-LID: Multiobjective Design of Energy-Efficient Hardware Accelerators for Levodopa-Induced Dyskinesia Classifiers. In: 2023 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS). Tallinn: Institute of Electrical and Electronics Engineers, 2023, s. 155-160. ISBN 979-8-3503-3277-3. Detail
  • HURTA Martin, MRÁZEK Vojtěch, DRAHOŠOVÁ Michaela a SEKANINA Lukáš. Multi-objective Design of Hardware Accelerators for Levodopa-Induced Dyskinesia Classifiers. Evo* 2023 -- Late-Breaking Abstracts Volume. Brno, 2023. Detail
  • JAROŠ Marta a JAROŠ Jiří. Optimization of Execution Parameters of Moldable Ultrasound Workflows Under Incomplete Performance Data. In: Job Scheduling Strategies for Parallel Processing. JSSPP 2022. Lecture Notes in Computer Science, LNCS 13592, roč. 13592. Virtual Event: Springer Nature Switzerland AG, 2023, s. 152-171. ISBN 978-3-031-22697-7. Detail
  • KEKELY Michal a 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, s. 7-12. ISBN 978-83-503-3276-7. Detail
  • RŮŽIČKA Richard, ŠIMEK Václav a NEVORAL Jan. Polymorphic RTL Computational Elements. In: Proceedings of the DSD 2023. Durres: IEEE Computer Society, 2023, s. 523-530. ISBN 979-8-3503-4419-6. Detail
  • PIŇOS Michal, MRÁZEK Vojtěch a 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, s. 45-50. ISBN 979-8-3503-3277-3. Detail
  • SHAIKH Qamar Usman, SHAHZAIB Muhammad, SHAKIL Sadia, BHATTI A. Farrukh a MALIK Aamir Saeed. Robust and Adaptive Terrain Classification and Gait Event Detection System. Heliyon, roč. 9, č. 11, 2023, s. 1-12. ISSN 2405-8440. Detail
  • MAHRUKH Rimsha, SHAKIL Sadia a MALIK Aamir Saeed. Sentiments Analysis of fMRI using Automatically Generated Stimuli Labels under Naturalistic Paradigm. Scientific Reports, roč. 13, č. 7267, 2023, s. 1-15. ISSN 2045-2322. Detail
  • AMIN Ullah Hafeez, ULLAH Rafi, REZA Faruque Mohammed a MALIK Aamir Saeed. Single-trial analyses of Event-related Potentials (ERP) and classification of visual events by ensemble use of discrete wavelet transform with Huffman coding and Machine learning techniques. Journal of NeuroEngineering and Rehabilitation, roč. 20, č. 70, 2023, s. 1-17. ISSN 1743-0003. Detail
  • DYK Tomáš a DRAHANSKÝ Martin. Tank Barrel Surface Damage Detection Algorithm. In: ICMT 2023: 17. International Conference on Military Technology. Brno: IEEE Computer Society, 2023, s. 1-4. ISBN 979-8-3503-2568-3. Detail
  • PÁNEK Richard a LOJDA Jakub. The Fault-tolerant Single-FPGA Systems with a Self-repair Reconfiguration Controller. In: 2023 IEEE 14th Latin America Symposium on Circuits and Systems (LASCAS). Quito: Institute of Electrical and Electronics Engineers, 2023, s. 104-107. ISBN 978-1-6654-5705-7. Detail
  • KALKREUTH Roman, VAŠÍČEK Zdeněk a HUSA Jakub. Towards a General Boolean Function Benchmark Suite. In: GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion. New York: Association for Computing Machinery, 2023, s. 591-594. ISBN 979-8-4007-0120-7. Detail
  • HURTA Martin, SCHWARZEROVÁ Jana, PROVAZNÍK Valentine, WECKWERTH Wolfram, WALTHER Dirk a SEKANINA Lukáš. Utilizing Cartesian Genetic Programming for Efficient Polygenic Risk Score Calculation in Plants. Program and Abstract Book: Swedish Bioinformatics Workshop 2023. Stockholm, 2023. Detail
  • HURTA Martin, SCHWARZEROVÁ Jana, NAGELE Thomas, WECKWERTH Wolfram, PROVAZNÍK Valentine a SEKANINA Lukáš. Utilizing Genetic Programming to Enhance Polygenic Risk Score Calculation. In: 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2023). Istanbul: Institute of Electrical and Electronics Engineers, 2023, s. 3782-3787. ISBN 979-8-3503-3748-8. Detail
  • PRABAKARAN Bharath S., MRÁZEK Vojtěch, VAŠÍČEK Zdeněk, SEKANINA Lukáš a SHAFIQUE Muhammad. Xel-FPGAs: An End-to-End Automated Exploration Framework for Approximate Accelerators in FPGA-Based Systems. In: Proceedings of the IEEE/ACM International Conference on Computer-Aided Design. 2023, s. 9. Detail

2022

  • ŠIŠMIŠ Lukáš a KOŘENEK Jan. Accelerating Suricata with DPDK. Arcachon, 2022. Detail
  • ŠIŠMIŠ Lukáš a KOŘENEK Jan. Accelerating Suricata with DPDK Prefilters: 386 Days Later. Atény, 2022. Detail
  • VAŠÍČEK Zdeněk. Analýza technického provedení a uplatnitelnosti technologie Angle of Arrival. Brno: ADWITECH system s.r.o., 2022. Detail
  • STRNADEL Josef. Analyzing Dynamic Aspects of AxC Systems by Means of Statistical Model Checking. In: Proceedings of 2022 25th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS). Prague: Institute of Electrical and Electronics Engineers, 2022, s. 88-93. ISBN 978-1-6654-9431-1. Detail
  • HANIF Muhammad A., MRÁZEK Vojtěch a SHAFIQUE Muhammad. Approximate Computing Architectures. Handbook of Computer Architecture. Handbook of Computer Architecture. Singapore: Springer Nature Singapore, 2022, s. 1-41. ISBN 978-981-1564-01-7. Detail
  • KLHŮFEK Jan a MRÁZEK Vojtěch. ArithsGen: Arithmetic Circuit Generator for Hardware Accelerators. In: 2022 25th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS '22). Prague: Institute of Electrical and Electronics Engineers, 2022, s. 44-47. ISBN 978-1-6654-9431-1. Detail
  • AUBRY Jean-Francois, BATES Oscar, BOEHM Christian, PAULY Kim Butts, CHRISTENSEN Douglas, CUETO Carlos, GÉLAT Pierre, GUASCH Lluis, JAROŠ Jiří, JING Yun, JONES Rebecca, LI Ningrui, MARTY Patrick, MONTANARO Hazael, NEUFELD Esra, PICHARDO Samuel, PINTON Gianmarco, PULKKINEN Aki, STANZIOLA Antonio, THIELSCHER Axel, TREEBY Bradley E. a VAN 't Wout Elwin. Benchmark problems for transcranial ultrasound simulation: Intercomparison of compressional wave models. Journal of the Acoustical Society of America, roč. 152, č. 2, 2022, s. 1003-1019. ISSN 1520-8524. Detail
  • MATOUŠEK Jiří, LUČANSKÝ Adam, JANEČEK David, SABO Jozef, KOŘENEK Jan a ANTICHI Gianni. ClassBench-ng: Benchmarking Packet Classification Algorithms in the OpenFlow Era. IEEE/ACM Transactions on Networking, roč. 30, č. 5, 2022, s. 1912-1925. ISSN 1558-2566. Detail
  • OLŠÁK Ondřej a JAROŠ Jiří. Comparison of SpFFT and FFTW3 library. Soláň, 2022. Detail
  • JAWED Soyiba a MALIK Aamir Saeed. Deep learning based diagnosis of alcohol use disorder (AUD) using EEG. In: {2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin). Berlin: Institute of Electrical and Electronics Engineers, 2022, s. 1-5. ISBN 978-1-6654-5676-0. Detail
  • KOCNOVÁ Jitka a VAŠÍČEK Zdeněk. Delay-aware evolutionary optimization of digital circuits. In: Proceedings of IEEE Computer Society Annual Symposium on VLSI, ISVLSI. Nicosia, Cyprus: IEEE Computer Society, 2022, s. 188-193. ISBN 978-1-6654-6605-9. Detail
  • BOSIO Alberto, DI Carlo Stefano, GIRARD Patrick, RUOSPO Annachiara, SANCHEZ Ernesto, SAVINO Aessandro, SEKANINA Lukáš, TRAIOLA Marcello, VAŠÍČEK Zdeněk a VIRAZEL Arnaud. Design, Verification, Test, and In-Field Implications of Approximate Digital Integrated Circuits. Approximate Computing Techniques. Cham: Springer International Publishing, 2022, s. 349-385. ISBN 978-3-030-94704-0. Detail
  • ČEŠKA Milan, MATYÁŠ Jiří, MRÁZEK Vojtěch a VOJNAR Tomáš. Designing Approximate Arithmetic Circuits with Combined Error Constraints. In: Proceeding of 25th Euromicro Conference on Digital System Design 2022 (DSD'22). Gran Canaria: Institute of Electrical and Electronics Engineers, 2022, s. 785-792. ISBN 978-1-6654-7404-7. Detail
  • OLŠÁK Ondřej a JAROŠ Jiří. Evaluation of libraries for the one-dimensional sparse Fourier transform. Ostrava, 2022. Detail
  • PIŇOS Michal, MRÁZEK Vojtěch a SEKANINA Lukáš. Evolutionary Approximation and Neural Architecture Search. Genetic Programming and Evolvable Machines, roč. 23, č. 3, 2022, s. 351-374. ISSN 1389-2576. Detail
  • VÁLEK Matěj a SEKANINA Lukáš. Evolutionary Approximation in Non-Local Means Image Filters. In: 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC). Praha: Institute of Electrical and Electronics Engineers, 2022, s. 2759-2766. ISBN 978-1-6654-5258-8. Detail
  • HURTA Martin, DRAHOŠOVÁ Michaela, SEKANINA Lukáš, SMITH Stephen L. a ALTY Jane E. Evolutionary Design of Reduced Precision Levodopa-Induced Dyskinesia Classifiers. In: Genetic Programming, 25th European Conference, EuroGP 2022. Lecture Notes in Computer Science, roč. 13223. Madrid: Springer Nature Switzerland AG, 2022, s. 85-101. ISBN 978-3-031-02055-1. Detail
  • HURTA Martin, DRAHOŠOVÁ Michaela a MRÁZEK Vojtěch. Evolutionary Design of Reduced Precision Preprocessor for Levodopa-Induced Dyskinesia Classifier. In: Parallel Problem Solving from Nature - PPSN XVII. Lecture Notes in Computer Science, roč. 13398. Dortmund: Springer Nature Switzerland AG, 2022, s. 491-504. ISBN 978-3-031-14713-5. Detail
  • KALKREUTH Roman, DAL Piccol Sotto Léo Françoso a VAŠÍČEK Zdeněk. Graph-based Genetic Programming. In: GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference. Boston: Association for Computing Machinery, 2022, s. 958-982. ISBN 978-1-4503-9268-6. Detail
  • SEKANINA Lukáš, VAŠÍČEK Zdeněk a MRÁZEK Vojtěch. Inexact Arithmetic Operators. Approximate Computing Techniques. Cham: Springer International Publishing, 2022, s. 81-107. ISBN 978-3-030-94704-0. Detail
  • JAROŠ Marta a JAROŠ Jiří. k-Dispatch's Performance Modules for Advanced Workflow Submission. Soláň, 2022. Detail
  • JAROŠ Marta, TREEBY Bradley E. a JAROŠ Jiří. k-Plan: From the Hospital to the Cluster and Back. Ostrava, 2022. Detail
  • KLEPÁRNÍK Petr, ZEMČÍK Pavel, TREEBY Bradley E. a JAROŠ Jiří. On-the-Fly Calculation of Time-Averaged Acoustic Intensity in Time-Domain Ultrasound Simulations Using a k-Space Pseudospectral Method. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, roč. 69, č. 10, 2022, s. 2917-2929. ISSN 1525-8955. Detail
  • MRÁZEK Vojtěch. Optimization of BDD-based Approximation Error Metrics Calculations. In: IEEE Computer Society Annual Symposium on VLSI (ISVLSI '22). Paphos: Institute of Electrical and Electronics Engineers, 2022, s. 86-91. ISBN 978-1-6654-6605-9. Detail
  • QADRI Syed Safi Uddin, ARIF Muhammad, NASEEM Imran a MOINUDDIN Muhammad. Robust Incremental Least Mean Square Algorithm With Dynamic Combiner. IEEE Access, roč. 10, č. 10, 2022, s. 75135-75143. ISSN 2169-3536. Detail
  • MARCHISIO Alberto, MRÁZEK Vojtěch, MASSA Andrea, BUSSOLINO Beatrice, MARTINA Mauricio a SHAFIQUE Muhammad. RoHNAS: A Neural Architecture Search Framework with Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks. IEEE Access, roč. 2022, č. 10, s. 109043-109055. ISSN 2169-3536. Detail
  • ČEŠKA Milan, MATYÁŠ Jiří, MRÁZEK Vojtěch, SEKANINA Lukáš, VAŠÍČEK Zdeněk a VOJNAR Tomáš. SagTree: Towards Efficient Mutation in Evolutionary Circuit Approximation. Swarm and Evolutionary Computation, roč. 69, č. 100986, 2022, s. 1-10. ISSN 2210-6502. Detail
  • RŮŽIČKA Richard a ŠIMEK Václav. Technology Mapping for PAIG Optimized Polymorphic Circuits. In: Proceeding of 25th Euromicro Conference on Digital System Design 2022 (DSD'22). Gran Canaria: IEEE Computer Society, 2022, s. 801-808. ISBN 978-1-6654-7404-7. Detail
Nahoru