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381 Publications


2019 | Preprint | LibreCat-ID: 16853
Witschen, Linus Matthias, et al. “Jump Search: A Fast Technique for the Synthesis of Approximate Circuits.” Fourth Workshop on Approximate Computing (AxC 2019).
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2019 | Journal Article | LibreCat-ID: 3585
Witschen, Linus Matthias, et al. “CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation.” Microelectronics Reliability, vol. 99, Elsevier, 2019, pp. 277–90, doi:10.1016/j.microrel.2019.04.003.
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2019 | Conference Paper | LibreCat-ID: 9913
Ahmed, Qazi Arbab, et al. “Proof-Carrying Hardware Versus the Stealthy Malicious LUT Hardware Trojan.” Applied Reconfigurable Computing, edited by Christian Hochberger et al., vol. 11444, Springer International Publishing, 2019, pp. 127–36, doi:10.1007/978-3-030-17227-5_10.
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2019 | Mastersthesis | LibreCat-ID: 15920
Keerthipati, Monica. A Bitstream-Level Proof-Carrying Hardware Technique for Information Flow Tracking. Universität Paderborn, 2019.
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2019 | Mastersthesis | LibreCat-ID: 15874
Lienen, Christian. Implementing a Real-Time System on a Platform FPGA Operated with ReconOS. Universität Paderborn.
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2019 | Conference Paper | LibreCat-ID: 10577
Witschen, Linus Matthias, et al. “Jump Search: A Fast Technique for the Synthesis of Approximate Circuits.” Proceedings of the 2019 on Great Lakes Symposium on VLSI  - GLSVLSI ’19, ACM, 2019, doi:10.1145/3299874.3317998.
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2019 | Journal Article | LibreCat-ID: 11950
Boschmann, Alexander, et al. “Zynq-Based Acceleration of Robust High Density Myoelectric Signal Processing.” Journal of Parallel and Distributed Computing, vol. 123, Elsevier, 2019, pp. 77–89, doi:10.1016/j.jpdc.2018.07.004.
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2019 | Journal Article | LibreCat-ID: 12871
Platzner, Marco, and Christian Plessl. “FPGAs im Rechenzentrum.” Informatik Spektrum, 2019, doi:10.1007/s00287-019-01187-w.
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2019 | Conference Paper | LibreCat-ID: 15422
Ho, Nam, et al. “Optimization of Application-Specific L1 Cache Translation Functions of the LEON3 Processor.” World Congress on Nature and Biologically Inspired Computing (NaBIC), Springer, 2019.
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2019 | Mastersthesis | LibreCat-ID: 15883
Kumar Jeyakumar, Shankar. Incremental Learning with Support Vector Machine on Embedded Platforms. 2019.
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2019 | Mastersthesis | LibreCat-ID: 15946
Mehta, Jinay. Multithreaded Software/Hardware Programming with ReconOS/FreeRTOS on a Recon􏰃gurable System-on-Chip. 2019.
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2019 | Journal Article | LibreCat-ID: 12967
Hansmeier, Tim, et al. “An Accelerator for Resolution Proof Checking Based on FPGA and Hybrid Memory Cube Technology.” Journal of Signal Processing Systems, vol. 91, no. 11, 2019, pp. 1259–72, doi:10.1007/s11265-018-1435-y.
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2019 | Mastersthesis | LibreCat-ID: 14831
Sabu, Nithin S. FPGA Acceleration of String Search Techniques in Huge Data Sets. Paderborn University, 2019.
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2019 | Mastersthesis | LibreCat-ID: 14546
Hansmeier, Tim. Autonomous Operation of High-Performance Compute Nodes through Self-Awareness and Learning Classifiers. Universität Paderborn, 2019.
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2018 | Dissertation | LibreCat-ID: 3720
Ho, Nam. FPGA-Based Reconfigurable Cache Mapping Schemes: Design and Optimization. Universität Paderborn, 2018, doi:10.17619/UNIPB/1-376.
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2018 | Bachelorsthesis | LibreCat-ID: 1097
Jentzsch, Felix Paul. Enforcing IP Core Connection Properties with Verifiable Security Monitors. Universität Paderborn, 2018.
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2018 | Journal Article | LibreCat-ID: 12965
Ghribi, Ines, et al. “R-Codesign: Codesign Methodology for Real-Time Reconfigurable Embedded Systems Under Energy Constraints.” IEEE Access, 2018, pp. 14078–92, doi:10.1109/access.2018.2799852.
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2018 | Preprint | LibreCat-ID: 3586
Witschen, Linus Matthias, et al. “CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation.” Third Workshop on Approximate Computing (AxC 2018).
LibreCat | Files available
 

2018 | Bachelorsthesis | LibreCat-ID: 3365
Schnuer, Jan-Philip. Static Scheduling Algorithms for Heterogeneous Compute Nodes. Universität Paderborn, 2018.
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2018 | Mastersthesis | LibreCat-ID: 10782
Clausing, Lennart. Development of a Hardware / Software Codesign for Sonification of LIDAR-Based Sensor Data. Ruhr-University Bochum, 2018.
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