--- _id: '27841' abstract: - lang: eng text: Verification of software and processor hardware usually proceeds separately, software analysis relying on the correctness of processors executing machine instructions. This assumption is valid as long as the software runs on standard CPUs that have been extensively validated and are in wide use. However, for processors exploiting custom instruction set extensions to meet performance and energy constraints the validation might be less extensive, challenging the correctness assumption. In this paper we present a novel formal approach for hardware/software co-verification targeting processors with custom instruction set extensions. We detail two different approaches for checking whether the hardware fulfills the requirements expected by the software analysis. The approaches are designed to explore a trade-off between generality of the verification and computational effort. Then, we describe the integration of software and hardware analyses for both techniques and describe a fully automated tool chain implementing the approaches. Finally, we demonstrate and compare the two approaches on example source code with custom instructions, using state-of-the-art software analysis and hardware verification techniques. author: - first_name: Marie-Christine full_name: Jakobs, Marie-Christine last_name: Jakobs - first_name: Felix full_name: Pauck, Felix id: '22398' last_name: Pauck - first_name: Marco full_name: Platzner, Marco id: '398' last_name: Platzner - first_name: Heike full_name: Wehrheim, Heike id: '573' last_name: Wehrheim - first_name: Tobias full_name: Wiersema, Tobias id: '3118' last_name: Wiersema citation: ama: Jakobs M-C, Pauck F, Platzner M, Wehrheim H, Wiersema T. Software/Hardware Co-Verification for Custom Instruction Set Processors. IEEE Access. Published online 2021. doi:10.1109/ACCESS.2021.3131213 apa: Jakobs, M.-C., Pauck, F., Platzner, M., Wehrheim, H., & Wiersema, T. (2021). Software/Hardware Co-Verification for Custom Instruction Set Processors. IEEE Access. https://doi.org/10.1109/ACCESS.2021.3131213 bibtex: '@article{Jakobs_Pauck_Platzner_Wehrheim_Wiersema_2021, title={Software/Hardware Co-Verification for Custom Instruction Set Processors}, DOI={10.1109/ACCESS.2021.3131213}, journal={IEEE Access}, publisher={IEEE}, author={Jakobs, Marie-Christine and Pauck, Felix and Platzner, Marco and Wehrheim, Heike and Wiersema, Tobias}, year={2021} }' chicago: Jakobs, Marie-Christine, Felix Pauck, Marco Platzner, Heike Wehrheim, and Tobias Wiersema. “Software/Hardware Co-Verification for Custom Instruction Set Processors.” IEEE Access, 2021. https://doi.org/10.1109/ACCESS.2021.3131213. ieee: 'M.-C. Jakobs, F. Pauck, M. Platzner, H. Wehrheim, and T. Wiersema, “Software/Hardware Co-Verification for Custom Instruction Set Processors,” IEEE Access, 2021, doi: 10.1109/ACCESS.2021.3131213.' mla: Jakobs, Marie-Christine, et al. “Software/Hardware Co-Verification for Custom Instruction Set Processors.” IEEE Access, IEEE, 2021, doi:10.1109/ACCESS.2021.3131213. short: M.-C. Jakobs, F. Pauck, M. Platzner, H. Wehrheim, T. Wiersema, IEEE Access (2021). date_created: 2021-11-25T14:12:22Z date_updated: 2023-01-18T08:34:50Z department: - _id: '78' doi: 10.1109/ACCESS.2021.3131213 funded_apc: '1' keyword: - Software Analysis - Abstract Interpretation - Custom Instruction - Hardware Verification language: - iso: eng project: - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '12' name: SFB 901 - Subproject B4 publication: IEEE Access publication_status: published publisher: IEEE quality_controlled: '1' status: public title: Software/Hardware Co-Verification for Custom Instruction Set Processors type: journal_article user_id: '22398' year: '2021' ... --- _id: '29138' author: - first_name: Qazi Arbab full_name: Ahmed, Qazi Arbab id: '72764' last_name: Ahmed orcid: 0000-0002-1837-2254 citation: ama: 'Ahmed QA. Hardware Trojans in Reconfigurable Computing. In: 2021 IFIP/IEEE 29th International Conference on Very Large Scale Integration (VLSI-SoC). ; 2021. doi:10.1109/vlsi-soc53125.2021.9606974' apa: Ahmed, Q. A. (2021). Hardware Trojans in Reconfigurable Computing. 2021 IFIP/IEEE 29th International Conference on Very Large Scale Integration (VLSI-SoC). https://doi.org/10.1109/vlsi-soc53125.2021.9606974 bibtex: '@inproceedings{Ahmed_2021, title={Hardware Trojans in Reconfigurable Computing}, DOI={10.1109/vlsi-soc53125.2021.9606974}, booktitle={2021 IFIP/IEEE 29th International Conference on Very Large Scale Integration (VLSI-SoC)}, author={Ahmed, Qazi Arbab}, year={2021} }' chicago: Ahmed, Qazi Arbab. “Hardware Trojans in Reconfigurable Computing.” In 2021 IFIP/IEEE 29th International Conference on Very Large Scale Integration (VLSI-SoC), 2021. https://doi.org/10.1109/vlsi-soc53125.2021.9606974. ieee: 'Q. A. Ahmed, “Hardware Trojans in Reconfigurable Computing,” 2021, doi: 10.1109/vlsi-soc53125.2021.9606974.' mla: Ahmed, Qazi Arbab. “Hardware Trojans in Reconfigurable Computing.” 2021 IFIP/IEEE 29th International Conference on Very Large Scale Integration (VLSI-SoC), 2021, doi:10.1109/vlsi-soc53125.2021.9606974. short: 'Q.A. Ahmed, in: 2021 IFIP/IEEE 29th International Conference on Very Large Scale Integration (VLSI-SoC), 2021.' date_created: 2021-12-30T00:02:24Z date_updated: 2023-04-19T15:03:45Z department: - _id: '78' doi: 10.1109/vlsi-soc53125.2021.9606974 language: - iso: eng project: - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' - _id: '12' name: 'SFB 901 - B4: SFB 901 - Subproject B4' - _id: '1' name: 'SFB 901: SFB 901' publication: 2021 IFIP/IEEE 29th International Conference on Very Large Scale Integration (VLSI-SoC) publication_status: published status: public title: Hardware Trojans in Reconfigurable Computing type: conference user_id: '72764' year: '2021' ... --- _id: '20681' abstract: - lang: eng text: The battle of developing hardware Trojans and corresponding countermeasures has taken adversaries towards ingenious ways of compromising hardware designs by circumventing even advanced testing and verification methods. Besides conventional methods of inserting Trojans into a design by a malicious entity, the design flow for field-programmable gate arrays (FPGAs) can also be surreptitiously compromised to assist the attacker to perform a successful malfunctioning or information leakage attack. The advanced stealthy malicious look-up-table (LUT) attack activates a Trojan only when generating the FPGA bitstream and can thus not be detected by register transfer and gate level testing and verification. However, also this attack was recently revealed by a bitstream-level proof-carrying hardware (PCH) approach. In this paper, we present a novel attack that leverages malicious routing of the inserted Trojan circuit to acquire a dormant state even in the generated and transmitted bitstream. The Trojan's payload is connected to primary inputs/outputs of the FPGA via a programmable interconnect point (PIP). The Trojan is detached from inputs/outputs during place-and-route and re-connected only when the FPGA is being programmed, thus activating the Trojan circuit without any need for a trigger logic. Since the Trojan is injected in a post-synthesis step and remains unconnected in the bitstream, the presented attack can currently neither be prevented by conventional testing and verification methods nor by recent bitstream-level verification techniques. author: - first_name: Qazi Arbab full_name: Ahmed, Qazi Arbab id: '72764' last_name: Ahmed orcid: 0000-0002-1837-2254 - first_name: Tobias full_name: Wiersema, Tobias id: '3118' last_name: Wiersema - first_name: Marco full_name: Platzner, Marco id: '398' last_name: Platzner citation: ama: 'Ahmed QA, Wiersema T, Platzner M. Malicious Routing: Circumventing Bitstream-level Verification for FPGAs. In: 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE). 2021 Design, Automation and Test in Europe Conference (DATE); 2021. doi:10.23919/DATE51398.2021.9474026' apa: 'Ahmed, Q. A., Wiersema, T., & Platzner, M. (2021). Malicious Routing: Circumventing Bitstream-level Verification for FPGAs. 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE). Design, Automation and Test in Europe Conference (DATE’21), Alpexpo | Grenoble, France. https://doi.org/10.23919/DATE51398.2021.9474026' bibtex: '@inproceedings{Ahmed_Wiersema_Platzner_2021, place={Alpexpo | Grenoble, France}, title={Malicious Routing: Circumventing Bitstream-level Verification for FPGAs}, DOI={10.23919/DATE51398.2021.9474026}, booktitle={2021 Design, Automation & Test in Europe Conference & Exhibition (DATE)}, publisher={2021 Design, Automation and Test in Europe Conference (DATE)}, author={Ahmed, Qazi Arbab and Wiersema, Tobias and Platzner, Marco}, year={2021} }' chicago: 'Ahmed, Qazi Arbab, Tobias Wiersema, and Marco Platzner. “Malicious Routing: Circumventing Bitstream-Level Verification for FPGAs.” In 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE). Alpexpo | Grenoble, France: 2021 Design, Automation and Test in Europe Conference (DATE), 2021. https://doi.org/10.23919/DATE51398.2021.9474026.' ieee: 'Q. A. Ahmed, T. Wiersema, and M. Platzner, “Malicious Routing: Circumventing Bitstream-level Verification for FPGAs,” presented at the Design, Automation and Test in Europe Conference (DATE’21), Alpexpo | Grenoble, France, 2021, doi: 10.23919/DATE51398.2021.9474026.' mla: 'Ahmed, Qazi Arbab, et al. “Malicious Routing: Circumventing Bitstream-Level Verification for FPGAs.” 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2021 Design, Automation and Test in Europe Conference (DATE), 2021, doi:10.23919/DATE51398.2021.9474026.' short: 'Q.A. Ahmed, T. Wiersema, M. Platzner, in: 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2021 Design, Automation and Test in Europe Conference (DATE), Alpexpo | Grenoble, France, 2021.' conference: end_date: 2021-02-05 location: Alpexpo | Grenoble, France name: Design, Automation and Test in Europe Conference (DATE'21) start_date: 2021-02-01 date_created: 2020-12-07T14:03:00Z date_updated: 2023-05-11T09:16:34Z ddc: - '006' department: - _id: '78' doi: 10.23919/DATE51398.2021.9474026 file: - access_level: closed content_type: application/pdf creator: qazi date_created: 2023-05-11T09:16:15Z date_updated: 2023-05-11T09:16:15Z file_id: '44752' file_name: 1812.pdf file_size: 394011 relation: main_file success: 1 file_date_updated: 2023-05-11T09:16:15Z has_accepted_license: '1' language: - iso: eng main_file_link: - open_access: '1' oa: '1' place: Alpexpo | Grenoble, France project: - _id: '12' name: SFB 901 - Subproject B4 - _id: '3' name: SFB 901 - Project Area B - _id: '1' name: SFB 901 publication: 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE) publication_identifier: eisbn: - 978-3-9819263-5-4 publication_status: published publisher: 2021 Design, Automation and Test in Europe Conference (DATE) status: public title: 'Malicious Routing: Circumventing Bitstream-level Verification for FPGAs' type: conference user_id: '72764' year: '2021' ... --- _id: '30909' author: - first_name: Lennart full_name: Clausing, Lennart id: '74287' last_name: Clausing orcid: 0000-0003-3789-6034 citation: ama: 'Clausing L. ReconOS64: High-Performance Embedded Computing for Industrial Analytics on a Reconfigurable System-on-Chip. In: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies. ACM; 2021. doi:10.1145/3468044.3468056' apa: 'Clausing, L. (2021). ReconOS64: High-Performance Embedded Computing for Industrial Analytics on a Reconfigurable System-on-Chip. Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies. https://doi.org/10.1145/3468044.3468056' bibtex: '@inproceedings{Clausing_2021, title={ReconOS64: High-Performance Embedded Computing for Industrial Analytics on a Reconfigurable System-on-Chip}, DOI={10.1145/3468044.3468056}, booktitle={Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies}, publisher={ACM}, author={Clausing, Lennart}, year={2021} }' chicago: 'Clausing, Lennart. “ReconOS64: High-Performance Embedded Computing for Industrial Analytics on a Reconfigurable System-on-Chip.” In Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies. ACM, 2021. https://doi.org/10.1145/3468044.3468056.' ieee: 'L. Clausing, “ReconOS64: High-Performance Embedded Computing for Industrial Analytics on a Reconfigurable System-on-Chip,” 2021, doi: 10.1145/3468044.3468056.' mla: 'Clausing, Lennart. “ReconOS64: High-Performance Embedded Computing for Industrial Analytics on a Reconfigurable System-on-Chip.” Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, ACM, 2021, doi:10.1145/3468044.3468056.' short: 'L. Clausing, in: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, ACM, 2021.' date_created: 2022-04-18T10:17:47Z date_updated: 2023-07-09T13:09:11Z department: - _id: '78' doi: 10.1145/3468044.3468056 language: - iso: eng project: - _id: '83' name: 'SFB 901 - T1: SFB 901 -Subproject T1' - _id: '82' name: 'SFB 901 - T: SFB 901 - Project Area T' - _id: '1' grant_number: '160364472' name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen in dynamischen Märkten ' publication: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies publication_status: published publisher: ACM status: public title: 'ReconOS64: High-Performance Embedded Computing for Industrial Analytics on a Reconfigurable System-on-Chip' type: conference user_id: '398' year: '2021' ... --- _id: '30908' author: - first_name: Hassan full_name: Ghasemzadeh Mohammadi, Hassan id: '61186' last_name: Ghasemzadeh Mohammadi - first_name: Felix full_name: Jentzsch, Felix id: '55631' last_name: Jentzsch orcid: 0000-0003-4987-5708 - first_name: Maurice full_name: Kuschel, Maurice last_name: Kuschel - first_name: 'Rahil ' full_name: 'Arshad, Rahil ' last_name: Arshad - first_name: Sneha full_name: Rautmare, Sneha last_name: Rautmare - first_name: Suraj full_name: Manjunatha, Suraj last_name: Manjunatha - first_name: Marco full_name: Platzner, Marco id: '398' last_name: Platzner - first_name: Alexander full_name: Boschmann, Alexander last_name: Boschmann - first_name: 'Dirk ' full_name: 'Schollbach, Dirk ' last_name: Schollbach citation: ama: 'Ghasemzadeh Mohammadi H, Jentzsch F, Kuschel M, et al. FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics. In: Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Springer; 2021. doi:https://doi.org/10.1007/978-3-030-93736-2_27' apa: 'Ghasemzadeh Mohammadi, H., Jentzsch, F., Kuschel, M., Arshad, R., Rautmare, S., Manjunatha, S., Platzner, M., Boschmann, A., & Schollbach, D. (2021). FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics. Machine Learning and Principles and Practice of Knowledge Discovery in Databases. https://doi.org/10.1007/978-3-030-93736-2_27' bibtex: '@inproceedings{Ghasemzadeh Mohammadi_Jentzsch_Kuschel_Arshad_Rautmare_Manjunatha_Platzner_Boschmann_Schollbach_2021, title={FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics}, DOI={https://doi.org/10.1007/978-3-030-93736-2_27}, booktitle={ Machine Learning and Principles and Practice of Knowledge Discovery in Databases}, publisher={Springer}, author={Ghasemzadeh Mohammadi, Hassan and Jentzsch, Felix and Kuschel, Maurice and Arshad, Rahil and Rautmare, Sneha and Manjunatha, Suraj and Platzner, Marco and Boschmann, Alexander and Schollbach, Dirk }, year={2021} }' chicago: 'Ghasemzadeh Mohammadi, Hassan, Felix Jentzsch, Maurice Kuschel, Rahil Arshad, Sneha Rautmare, Suraj Manjunatha, Marco Platzner, Alexander Boschmann, and Dirk Schollbach. “FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics.” In Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Springer, 2021. https://doi.org/10.1007/978-3-030-93736-2_27.' ieee: 'H. Ghasemzadeh Mohammadi et al., “FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics,” 2021, doi: https://doi.org/10.1007/978-3-030-93736-2_27.' mla: 'Ghasemzadeh Mohammadi, Hassan, et al. “FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics.” Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Springer, 2021, doi:https://doi.org/10.1007/978-3-030-93736-2_27.' short: 'H. Ghasemzadeh Mohammadi, F. Jentzsch, M. Kuschel, R. Arshad, S. Rautmare, S. Manjunatha, M. Platzner, A. Boschmann, D. Schollbach, in: Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Springer, 2021.' date_created: 2022-04-18T10:16:55Z date_updated: 2023-09-15T15:09:07Z department: - _id: '78' doi: https://doi.org/10.1007/978-3-030-93736-2_27 language: - iso: eng project: - _id: '83' name: 'SFB 901 - T1: SFB 901 -Subproject T1' - _id: '1' grant_number: '160364472' name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen in dynamischen Märkten ' - _id: '82' name: 'SFB 901 - T: SFB 901 - Project Area T' publication: ' Machine Learning and Principles and Practice of Knowledge Discovery in Databases' publisher: Springer status: public title: 'FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics' type: conference user_id: '477' year: '2021' ... --- _id: '3583' author: - first_name: Zakarya full_name: ' Guetttatfi, Zakarya' last_name: ' Guetttatfi' - first_name: Paul full_name: Kaufmann, Paul last_name: Kaufmann - first_name: Marco full_name: Platzner, Marco id: '398' last_name: Platzner citation: ama: 'Guetttatfi Z, Kaufmann P, Platzner M. Optimal and Greedy Heuristic Approaches for Scheduling and Mapping of Hardware Tasks to Reconfigurable Computing Devices. In: Proceedings of the International Workshop on Applied Reconfigurable Computing (ARC). ; 2020.' apa: Guetttatfi, Z., Kaufmann, P., & Platzner, M. (2020). Optimal and Greedy Heuristic Approaches for Scheduling and Mapping of Hardware Tasks to Reconfigurable Computing Devices. In Proceedings of the International Workshop on Applied Reconfigurable Computing (ARC). bibtex: '@inproceedings{ Guetttatfi_Kaufmann_Platzner_2020, title={Optimal and Greedy Heuristic Approaches for Scheduling and Mapping of Hardware Tasks to Reconfigurable Computing Devices}, booktitle={Proceedings of the International Workshop on Applied Reconfigurable Computing (ARC)}, author={ Guetttatfi, Zakarya and Kaufmann, Paul and Platzner, Marco}, year={2020} }' chicago: Guetttatfi, Zakarya, Paul Kaufmann, and Marco Platzner. “Optimal and Greedy Heuristic Approaches for Scheduling and Mapping of Hardware Tasks to Reconfigurable Computing Devices.” In Proceedings of the International Workshop on Applied Reconfigurable Computing (ARC), 2020. ieee: Z. Guetttatfi, P. Kaufmann, and M. Platzner, “Optimal and Greedy Heuristic Approaches for Scheduling and Mapping of Hardware Tasks to Reconfigurable Computing Devices,” in Proceedings of the International Workshop on Applied Reconfigurable Computing (ARC), 2020. mla: Guetttatfi, Zakarya, et al. “Optimal and Greedy Heuristic Approaches for Scheduling and Mapping of Hardware Tasks to Reconfigurable Computing Devices.” Proceedings of the International Workshop on Applied Reconfigurable Computing (ARC), 2020. short: 'Z. Guetttatfi, P. Kaufmann, M. Platzner, in: Proceedings of the International Workshop on Applied Reconfigurable Computing (ARC), 2020.' date_created: 2018-07-20T14:07:15Z date_updated: 2022-01-06T06:59:25Z department: - _id: '78' - _id: '34' - _id: '7' language: - iso: eng publication: Proceedings of the International Workshop on Applied Reconfigurable Computing (ARC) status: public title: Optimal and Greedy Heuristic Approaches for Scheduling and Mapping of Hardware Tasks to Reconfigurable Computing Devices type: conference user_id: '398' year: '2020' ... --- _id: '21324' author: - first_name: Khushboo full_name: Chandrakar, Khushboo last_name: Chandrakar citation: ama: Chandrakar K. Comparison of Feature Selection Techniques to Improve Approximate Circuit Synthesis.; 2020. apa: Chandrakar, K. (2020). Comparison of Feature Selection Techniques to Improve Approximate Circuit Synthesis. bibtex: '@book{Chandrakar_2020, title={Comparison of Feature Selection Techniques to Improve Approximate Circuit Synthesis}, author={Chandrakar, Khushboo}, year={2020} }' chicago: Chandrakar, Khushboo. Comparison of Feature Selection Techniques to Improve Approximate Circuit Synthesis, 2020. ieee: K. Chandrakar, Comparison of Feature Selection Techniques to Improve Approximate Circuit Synthesis. 2020. mla: Chandrakar, Khushboo. Comparison of Feature Selection Techniques to Improve Approximate Circuit Synthesis. 2020. short: K. Chandrakar, Comparison of Feature Selection Techniques to Improve Approximate Circuit Synthesis, 2020. date_created: 2021-03-01T09:19:29Z date_updated: 2022-01-06T06:54:54Z department: - _id: '78' - _id: '7' language: - iso: eng project: - _id: '52' name: Computing Resources Provided by the Paderborn Center for Parallel Computing status: public supervisor: - first_name: Marco full_name: Platzner, Marco id: '398' last_name: Platzner - first_name: Linus Matthias full_name: Witschen, Linus Matthias id: '49051' last_name: Witschen title: Comparison of Feature Selection Techniques to Improve Approximate Circuit Synthesis type: mastersthesis user_id: '49051' year: '2020' ... --- _id: '21432' abstract: - lang: eng text: "Robots are becoming increasingly autonomous and more capable. Because of a limited portable energy budget by e.g. batteries, and more demanding algorithms, an efficient computation is of interest. Field Programmable Gate Arrays (FPGAs) for example can provide fast and efficient processing and the Robot Operating System (ROS) is a popular\r\nmiddleware used for robotic applications. The novel ReconROS combines version 2 of the Robot Operating System with ReconOS, a framework for integrating reconfigurable hardware. It provides a unified interface between software and hardware. ReconROS is evaluated in this thesis by implementing a Sobel filter as the video processing application, running on a Zynq-7000 series System on Chip. Timing measurements were taken of execution and transfer times and were compared to theoretical values. Designing the hardware implementation is done by C code using High Level Synthesis and with the interface and functionality provided by ReconROS. An important aspect is the publish/subscribe mechanism of ROS. The Operating System interface functions for publishing and subscribing are reasonably fast at below 10 ms for a 1 MB color VGA image. The main memory interface performs well at higher data sizes, crossing 100 MB/s at 20 kB and increasing to a maximum of around 150 MB/s. Furthermore, the hardware implementation introduces consistency to the execution times and performs twice as fast as the software implementation." author: - first_name: Luca-Sebastian full_name: Henke, Luca-Sebastian last_name: Henke citation: ama: Henke L-S. Evaluation of a ReconOS-ROS Combination Based on a Video Processing Application.; 2020. apa: Henke, L.-S. (2020). Evaluation of a ReconOS-ROS Combination based on a Video Processing Application. bibtex: '@book{Henke_2020, title={Evaluation of a ReconOS-ROS Combination based on a Video Processing Application}, author={Henke, Luca-Sebastian}, year={2020} }' chicago: Henke, Luca-Sebastian. Evaluation of a ReconOS-ROS Combination Based on a Video Processing Application, 2020. ieee: L.-S. Henke, Evaluation of a ReconOS-ROS Combination based on a Video Processing Application. 2020. mla: Henke, Luca-Sebastian. Evaluation of a ReconOS-ROS Combination Based on a Video Processing Application. 2020. short: L.-S. Henke, Evaluation of a ReconOS-ROS Combination Based on a Video Processing Application, 2020. date_created: 2021-03-10T07:07:01Z date_updated: 2022-01-06T06:54:59Z department: - _id: '78' language: - iso: eng status: public supervisor: - first_name: Christian full_name: Lienen, Christian id: '60323' last_name: Lienen - first_name: Marco full_name: Platzner, Marco id: '398' last_name: Platzner title: Evaluation of a ReconOS-ROS Combination based on a Video Processing Application type: bachelorsthesis user_id: '60323' year: '2020' ... --- _id: '21584' author: - first_name: Carlos Paiz full_name: Gatica, Carlos Paiz last_name: Gatica - first_name: Marco full_name: Platzner, Marco id: '398' last_name: Platzner citation: ama: 'Gatica CP, Platzner M. Adaptable Realization of Industrial Analytics Functions on Edge-Devices using Reconfigurable Architectures. In: Machine Learning for Cyber Physical Systems (ML4CPS 2017). Berlin, Heidelberg; 2020. doi:10.1007/978-3-662-59084-3_9' apa: Gatica, C. P., & Platzner, M. (2020). Adaptable Realization of Industrial Analytics Functions on Edge-Devices using Reconfigurable Architectures. In Machine Learning for Cyber Physical Systems (ML4CPS 2017). Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-59084-3_9 bibtex: '@inproceedings{Gatica_Platzner_2020, place={Berlin, Heidelberg}, title={Adaptable Realization of Industrial Analytics Functions on Edge-Devices using Reconfigurable Architectures}, DOI={10.1007/978-3-662-59084-3_9}, booktitle={Machine Learning for Cyber Physical Systems (ML4CPS 2017)}, author={Gatica, Carlos Paiz and Platzner, Marco}, year={2020} }' chicago: Gatica, Carlos Paiz, and Marco Platzner. “Adaptable Realization of Industrial Analytics Functions on Edge-Devices Using Reconfigurable Architectures.” In Machine Learning for Cyber Physical Systems (ML4CPS 2017). Berlin, Heidelberg, 2020. https://doi.org/10.1007/978-3-662-59084-3_9. ieee: C. P. Gatica and M. Platzner, “Adaptable Realization of Industrial Analytics Functions on Edge-Devices using Reconfigurable Architectures,” in Machine Learning for Cyber Physical Systems (ML4CPS 2017), 2020. mla: Gatica, Carlos Paiz, and Marco Platzner. “Adaptable Realization of Industrial Analytics Functions on Edge-Devices Using Reconfigurable Architectures.” Machine Learning for Cyber Physical Systems (ML4CPS 2017), 2020, doi:10.1007/978-3-662-59084-3_9. short: 'C.P. Gatica, M. Platzner, in: Machine Learning for Cyber Physical Systems (ML4CPS 2017), Berlin, Heidelberg, 2020.' date_created: 2021-03-31T08:58:59Z date_updated: 2022-01-06T06:55:06Z department: - _id: '78' doi: 10.1007/978-3-662-59084-3_9 language: - iso: eng place: Berlin, Heidelberg publication: Machine Learning for Cyber Physical Systems (ML4CPS 2017) publication_identifier: isbn: - '9783662590836' - '9783662590843' issn: - 2522-8579 - 2522-8587 publication_status: published status: public title: Adaptable Realization of Industrial Analytics Functions on Edge-Devices using Reconfigurable Architectures type: conference user_id: '398' year: '2020' ... --- _id: '17358' abstract: - lang: eng text: 'Approximate circuits trade-off computational accuracy against improvements in hardware area, delay, or energy consumption. IP core vendors who wish to create such circuits need to convince consumers of the resulting approximation quality. As a solution we propose proof-carrying approximate circuits: The vendor creates an approximate IP core together with a certificate that proves the approximation quality. The proof certificate is bundled with the approximate IP core and sent off to the consumer. The consumer can formally verify the approximation quality of the IP core at a fraction of the typical computational cost for formal verification. In this paper, we first make the case for proof-carrying approximate circuits and then demonstrate the feasibility of the approach by a set of synthesis experiments using an exemplary approximation framework.' article_type: original author: - first_name: Linus Matthias full_name: Witschen, Linus Matthias id: '49051' last_name: Witschen - first_name: Tobias full_name: Wiersema, Tobias id: '3118' last_name: Wiersema - first_name: Marco full_name: Platzner, Marco id: '398' last_name: Platzner citation: ama: Witschen LM, Wiersema T, Platzner M. Proof-carrying Approximate Circuits. IEEE Transactions On Very Large Scale Integration Systems. 2020;28(9):2084-2088. doi:10.1109/TVLSI.2020.3008061 apa: Witschen, L. M., Wiersema, T., & Platzner, M. (2020). Proof-carrying Approximate Circuits. IEEE Transactions On Very Large Scale Integration Systems, 28(9), 2084–2088. https://doi.org/10.1109/TVLSI.2020.3008061 bibtex: '@article{Witschen_Wiersema_Platzner_2020, title={Proof-carrying Approximate Circuits}, volume={28}, DOI={10.1109/TVLSI.2020.3008061}, number={9}, journal={IEEE Transactions On Very Large Scale Integration Systems}, publisher={IEEE}, author={Witschen, Linus Matthias and Wiersema, Tobias and Platzner, Marco}, year={2020}, pages={2084–2088} }' chicago: 'Witschen, Linus Matthias, Tobias Wiersema, and Marco Platzner. “Proof-Carrying Approximate Circuits.” IEEE Transactions On Very Large Scale Integration Systems 28, no. 9 (2020): 2084–88. https://doi.org/10.1109/TVLSI.2020.3008061.' ieee: L. M. Witschen, T. Wiersema, and M. Platzner, “Proof-carrying Approximate Circuits,” IEEE Transactions On Very Large Scale Integration Systems, vol. 28, no. 9, pp. 2084–2088, 2020. mla: Witschen, Linus Matthias, et al. “Proof-Carrying Approximate Circuits.” IEEE Transactions On Very Large Scale Integration Systems, vol. 28, no. 9, IEEE, 2020, pp. 2084–88, doi:10.1109/TVLSI.2020.3008061. short: L.M. Witschen, T. Wiersema, M. Platzner, IEEE Transactions On Very Large Scale Integration Systems 28 (2020) 2084–2088. date_created: 2020-07-06T11:21:30Z date_updated: 2022-01-06T06:53:09Z department: - _id: '78' doi: 10.1109/TVLSI.2020.3008061 funded_apc: '1' intvolume: ' 28' issue: '9' keyword: - Approximate circuit synthesis - approximate computing - error metrics - formal verification - proof-carrying hardware language: - iso: eng page: 2084 - 2088 project: - _id: '12' name: SFB 901 - Subproject B4 - _id: '3' name: SFB 901 - Project Area B - _id: '1' name: SFB 901 publication: IEEE Transactions On Very Large Scale Integration Systems publication_identifier: eissn: - 1557-9999 issn: - 1063-8210 publication_status: published publisher: IEEE quality_controlled: '1' status: public title: Proof-carrying Approximate Circuits type: journal_article user_id: '49051' volume: 28 year: '2020' ...