Vladimir Sidorenko, M.Sc. Sidorenko

Vladimir Sidorenko, M.Sc.

  • Engesserstr. 5

    76131 Karlsruhe

Research interests

Latency optimisation in inter-FPGA optical communication

The ever-growing demand for real-time control systems in many application fields creates additional challenges for physical networks. With the bandwidth needs greatly covered by optical networks, links in time-critical systems must also deliver data with a low and guaranteed latency. Among other sources, delays and latency uncertainties are introduced in the physical datapath and buffers. Nonetheless, these negative effects can be mitigated by developing optimised clock domain crossing and buffer bypass methods.

Time synchronisation in distributed FPGA networks

In distributed real-time systems, it is important that race conditions are avoided and system components are coordinated to function as a whole. Time-critical applications increase the requirements for coordination even further. Whether the system components keep track of measurement time or perform synchronous operations, they require a common notion of time - a time base. Growing demand for synchronicity and accurate time base in such systems drives development of advanced methods for synchronization and timing-related measurements

High-throughput data acquisition flow control

Large-scale and data intensive measurement system require collecting large amounts of data for processing and analysis. Triggerless approach to data acquisition is increasingly gaining popularity in these systems and allows complex event analysis. At the same time, data rate fluctuations and processing errors may lead to system congestion, measurement corruption and thus generally inefficient operation of such a system. An intelligent and responsive flow control subsystem governs the data collection process and makes sure the data flow is consistent and tolerant to these negative factors.

Teaching

Student works to be assigned
Titel Datum

Supervised student works (selection)

  • BA: “Evaluation Platform: CPU Softcores for Real-time Inter-FPGA Networking”
  • BA: “Accurate Phase Measurement in FPGA for Firmware-Defined PLL”
  • MA: "Data Flow Organisation in an Ultra-Low-Latency Real-Time FPGA Network"

Publications


2025
Journal Articles
ToASt: A 64-channel ASIC for the readout of the Silicon Strip Detectors of the PANDA experiment
Mazza, G.; Calvo, D.; Cossio, F.; De Remigis, P.; Lenta, F.; Mignone, M.; Wheadon, R.; Becker, J.; Brinkmann, K. T.; Caselle, M.; Kopmann, A.; Manzhura, O.; Peter, M.; Sidorenko, V.; Stanek, P.; Stockmanns, T.; Tomasek, L.; Troll, N.; Unger, K. L.; Zaunick, H. G.
2025. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1071, 170069. doi:10.1016/j.nima.2024.170069
2024
Journal Articles
Characterization of the radiation tolerant ToASt ASIC for the readout of the PANDA MVD strip detector
Lenta, F.; Calvo, D.; Cossio, F.; Mazza, G.; Wheadon, R.; Becker, J.; Brinkmann, K.-T.; Caselle, M.; Kopmann, A.; Manzhura, O.; Mattiazzo, S.; Peter, M.; Sidorenko, V.; Staněk, P.; Stockmanns, T.; Tomášek, L.; Tröll, N.; Unger, K. L.; Zaunick, H.-G.
2024. Journal of Instrumentation, 19 (04), Art.-Nr.: C04047. doi:10.1088/1748-0221/19/04/C04047
The data acquisition system for the PANDA Micro-Vertex Detector
Manzhura, O.; Caselle, M.; Ardila-Perez, L. E.; Calvo, D.; Chilingaryan, S.; Cossio, F.; Dritschler, T.; Kopmann, A.; Lenta, F.; Mazza, G.; Peter, M.; Sidorenko, V.; Staněk, P.; Stockmanns, T.; Tomášek, L.; Tröll, N.; Unger, K. L.; Zaunick, H.-G.; Becker, J.; Brinkmann, K.-T.
2024. Journal of Instrumentation, 19 (03), Art.-Nr.: C03036. doi:10.1088/1748-0221/19/03/C03036
Time error accumulation in a hierarchical time and clock distribution network with deterministic optical links
CBM Collaboration; Sidorenko, V.; Müller, W. F. J.; Emschermann, D.; Zabolotny, W.; Fröhlich, I.; Becker, J.
2024. Journal of Instrumentation, 19 (03), Art.-Nr.: C03014. doi:10.1088/1748-0221/19/03/C03014
Conference Papers
VHDL Crash Course: A Multimedia-Based Teaching Approach
Kreß, F.; Sidorenko, V.; Topko, I.; Unger, K.; Harbaum, T.; Becker, J.
2024. 2024 IEEE 3rd German Education Conference (GECon), Munich, Germany, 05-07 August 2024, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/GECon62014.2024.10734007
Context-Aware Layer Scheduling for Seamless Neural Network Inference in Cloud-Edge Systems
Stammler, M.; Sidorenko, V.; Kreß, F.; Schmidt, P.; Becker, J.
2024. 2023 IEEE 16th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC), Singapur, 18th-21st December 2023, 97–104, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/MCSoC60832.2023.00022
Audio & Video
[VHDL Crash Course] Testbenches - How to Test your VHDL model
Kreß, F.; Sidorenko, V.; Topko, I.; Unger, K.; Schneider, M.; Becker, J.
2024
[VHDL Crash Course] Concurrent Modeling - The Register-Transfer-Level Mindset
Kreß, F.; Sidorenko, V.; Topko, I.; Unger, K.; Schneider, M.; Becker, J.
2024
[VHDL Crash Course] Sequential Modeling - Introduction to If and Case Statements
Kreß, F.; Sidorenko, V.; Topko, I.; Unger, K.; Schneider, M.; Becker, J.
2024
[VHDL Crash Course] Processes in VHDL - How to model sequential Algorithms
Kreß, F.; Sidorenko, V.; Topko, I.; Unger, K.; Schneider, M.; Becker, J.
2024
[VHDL Crash Course] Avoiding Code Duplicates - VHDL Module Parameters and Architectures
Kreß, F.; Sidorenko, V.; Topko, I.; Unger, K.; Schneider, M.; Becker, J.
2024
[VHDL Crash Course] Bit Vectors and Numbers - Basic VHDL Types
Kreß, F.; Sidorenko, V.; Topko, I.; Unger, K.; Schneider, M.; Becker, J.
2024
[VHDL Crash Course] Entity and Architecture - Introduction to the basic VHDL structure
Kreß, F.; Sidorenko, V.; Topko, I.; Unger, K.; Schneider, M.; Becker, J.
2024
[VHDL Crash Course] HDLs in general - What are HDLs used for
Kreß, F.; Sidorenko, V.; Topko, I.; Unger, K.; Schneider, M.; Becker, J.
2024
[VHDL Crash Course] How to Learn with Videos - Introduction to Self-regulated Learning
Kreß, F.; Sidorenko, V.; Topko, I.; Unger, K.; Schneider, M.; Becker, J.
2024
2023
Journal Articles
CNNParted: An open source framework for efficient Convolutional Neural Network inference partitioning in embedded systems
Kreß, F.; Sidorenko, V.; Schmidt, P.; Hoefer, J.; Hotfilter, T.; Walter, I.; Harbaum, T.; Becker, J.
2023. Computer Networks, 229, Article no: 109759. doi:10.1016/j.comnet.2023.109759
Evaluation of GBT-FPGA for timing and fast control in CBM experiment
Sidorenko, V.; Müller, W. F. J.; Zabolotny, W.; Fröhlich, I.; Emschermann, D.; Becker, J.
2023. Journal of Instrumentation, 18 (2), Art.-Nr.: C02052. doi:10.1088/1748-0221/18/02/C02052
2022
Journal Articles
Prototype design of a timing and fast control system in the CBM experiment
Sidorenko, V.; Fröhlich, I.; Müller, W. F. J.; Emschermann, D.; Bähr, S.; Sturm, C.; Becker, J.
2022. Journal of Instrumentation, 17, Art.-Nr.: C05008. doi:10.1088/1748-0221/17/05/C05008
Conference Papers
Hardware-aware Partitioning of Convolutional Neural Network Inference for Embedded AI Applications
Kreß, F.; Hoefer, J.; Hotfilter, T.; Walter, I.; Sidorenko, V.; Harbaum, T.; Becker, J.
2022. 18th International Conference on Distributed Computing in Sensor Systems (DCOSS), 133–140, IEEEXplore. doi:10.1109/DCOSS54816.2022.00034
2021
Journal Articles
Feasibility studies of conserved charge fluctuations in Au-Au collisions with CBM
CBM Collaboration; Samanta, S.; Bähr, S.; Balzer, M.; Becker, J.; Blank, T.; Caselle, M.; Sidorenko, V.; Trifonova, E.; Unger, K. L.; Weber, M.
2021. Nuclear physics <Amsterdam> / A, 1005, Art.-Nr.: 121896. doi:10.1016/j.nuclphysa.2020.121896
CBM Collaboration
CBM Collaboration; Ablyazimov, T.; Adak, R. P.; Adler, A.; Agarwal, A.; Agarwal, K.; Ahammed, Z.; Ahmad, A.; Ahmad, F.; Ahmad, N.; Akindinov, A.; Akishin, P.; Akishina, V.; Al-Turany, M.; Alekseev, I.; Alexandrov, E.; Alexandrov, I.; Andronic, A.; Appelshäuser, H.; Sidorenko, V.; et al.
2021. Nuclear physics <Amsterdam> / A, 1005, Article no: 122089. doi:10.1016/S0375-9474(20)30414-0
Reports/Preprints
Prototype design of a timing and fast control system in the CBM experiment
Sidorenko, V.; Fröhlich, I.; Müller, W. F. J.; Emschermann, D.; Bähr, S.; Sturm, C.; Becker, J.
2021. doi:10.48550/arXiv.2110.12738
2020
Journal Articles
Transverse and longitudinal segmented forward hadron calorimeters with SiPMs light readout for future fixed target heavy ion experiments
BM@N Collaboration; CBM Collaboration; NA61/SHINE Collaboration; Guber, F.; Finogeev, D.; Golubeva, M.; Ivashkin, A.; Izvestnyy, A.; Karpushkin, N.; Morozov, S.; Kugler, A.; Mikhaylov, V.; Senger, A.; Bähr, S.; Balzer, M.; Becker, J.; Blank, T.; Caselle, M.; Sidorenko, V.; Trifonova, E.; et al.
2020. Nuclear instruments & methods in physics research / A, 958, Art.-Nr. 162728. doi:10.1016/j.nima.2019.162728
Status of the Compressed Baryonic Matter experiment at FAIR
CBM Collaboration; Senger, P.; Bähr, S.; Balzer, M.; Becker, J.; Blank, T.; Caselle, M.; Sidorenko, V.; Trifonova, E.; Unger, K. L.; Weber, M.
2020. International journal of modern physics / E, 29 (02), 2030001–1. doi:10.1142/S0218301320300015
Probing dense QCD matter in the laboratory—The CBM experiment at FAIR
CBM Collaboration; Senger, P.; Bähr, S.; Balzer, M.; Becker, J.; Blank, T.; Caselle, M.; Sidorenko, V.; Trifonova, E.; Unger, K. L.; Weber, M.
2020. Physica scripta, 95 (7), Art.-Nr.: 074003. doi:10.1088/1402-4896/ab8c14
Physics Performance Studies for Anisotropic Flow Measurements with the CBM Experiment at FAIR
CBM Collaboration; Golosov, O.; Klochkov, V.; Kashirin, E.; Selyuzhenkov, I.; Bähr, S.; Balzer, M.; Becker, J.; Blank, T.; Caselle, M.; Sidorenko, V.; Trifonova, E.; Unger, K. L.; Weber, M.
2020. Physics of particles and nuclei, 51 (3), 297–300. doi:10.1134/S1063779620030119
Using multiplicity of produced particles for centrality determination in heavy-ion collisions with the CBM experiment
CBM Collaboration; Segal, I.; Lubynets, O.; Selyuzhenkov, I.; Klochkov, V.; Bähr, S.; Balzer, M.; Becker, J.; Blank, T.; Caselle, M.; Sidorenko, V.; Trifonova, E.; Unger, K. L.; Weber, M.
2020. Journal of Physics: Conference Series, 1690, Art.-Nr.: 012107. doi:10.1088/1742-6596/1690/1/012107
Performance for proton anisotropic flow measurement of the CBM experiment at FAIR
CBM Collaboration; Golosov, O.; Klochkov, V.; Kashirin, E.; Selyuzhenkov, I.; Bähr, S.; Balzer, M.; Becker, J.; Blank, T.; Caselle, M.; Sidorenko, V.; Trifonova, E.; Unger, K. L.; Weber, M.
2020. Journal of Physics: Conference Series, 1690, Art.-Nr. 012104. doi:10.1088/1742-6596/1690/1/012104
2019
Journal Articles
The very forward hadron calorimeter PSD for the future CBM@FAIR experiment
CBM Collaboration; Mikhaylov, V.; Kugler, A.; Kushpil, V.; Svoboda, O.; Tlustý, P.; Golubeva, M.; Guber, F.; Ivashkin, A.; Morozov, S.; Klochkov, V.; Selyuzhenkov, I.; Senger, A.; Bondarenko, S.; Burov, V.; Malakhov, A.; Bähr, S.; Balzer, M.; Becker, J.; Sidorenko, V.; et al.
2019. The European physical journal / Web of Conferences, 204, Art.-Nr.: 11004. doi:10.1051/epjconf/201920411004
The Projectile Spectator Detector for measuring the geometry of heavy ion collisions at the CBM experiment on FAIR
CBM Collaboration; Karpushkin, N.; Finogeev, D.; Golubeva, M.; Guber, F.; Ivashkin, A.; Izvestnyy, A.; Ladygin, V.; Morozov, S.; Kugler, A.; Mikhaylov, V.; Senger, A.; Bähr, S.; Balzer, M.; Becker, J.; Blank, T.; Caselle, M.; Sidorenko, V.; Trifonova, E.; Unger, K. L.; et al.
2019. Nuclear instruments & methods in physics research / A, 936, 156–157. doi:10.1016/j.nima.2018.10.054
Exploring Cosmic Matter in the Laboratory—The Compressed Baryonic Matter Experiment at FAIR
CBM Collaboration; Senger, P.; Bähr, S.; Balzer, M.; Becker, J.; Blank, T.; Caselle, M.; Sidorenko, V.; Trifonova, E.; Unger, K. L.; Weber, M.
2019. Particles, 2 (4), 499–510. doi:10.3390/particles2040031
2018
Journal Articles
Event Topology Reconstruction in the CBM Experiment
CBM Collaboration; Kisel, I.; Bähr, S.; Balzer, M.; Becker, J.; Blank, T.; Caselle, M.; Sidorenko, V.; Trifonova, E.; Unger, K. L.; Weber, M.
2018. Journal of Physics: Conference Series, 1070, 012015. doi:10.1088/1742-6596/1070/1/012015
2017
Journal Articles
A precision device needs precise simulation: Software description of the CBM Silicon Tracking System
CBM Collaboration; Malygina, H.; Friese, V.; Bähr, S.; Balzer, M.; Becker, J.; Blank, T.; Caselle, M.; Sidorenko, V.; Trifonova, E.; Unger, K. L.; Weber, M.
2017. Journal of Physics: Conference Series, 898, Art.-Nr.: 042022. doi:10.1088/1742-6596/898/4/042022
The high-rate data challenge: computing for the CBM experiment
CBM Collaboration; Friese, V.; Bähr, S.; Balzer, M.; Becker, J.; Blank, T.; Caselle, M.; Sidorenko, V.; Trifonova, E.; Unger, K. L.; Weber, M.
2017. Journal of Physics: Conference Series, 898, Art.-Nr. 112003. doi:10.1088/1742-6596/898/11/112003