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432 Publications


2019 | Preprint | LibreCat-ID: 16853
L. M. Witschen, H. Ghasemzadeh Mohammadi, M. Artmann, and M. Platzner, “Jump Search: A Fast Technique for the Synthesis of Approximate Circuits,” Fourth Workshop on Approximate Computing (AxC 2019). .
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2019 | Conference Paper | LibreCat-ID: 10577
L. M. Witschen, H. Ghasemzadeh Mohammadi, M. Artmann, and M. Platzner, “Jump Search: A Fast Technique for the Synthesis of Approximate Circuits,” in Proceedings of the 2019 on Great Lakes Symposium on VLSI  - GLSVLSI ’19, Tysons Corner, VA, USA, 2019.
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2019 | Journal Article | LibreCat-ID: 11950
A. Boschmann, A. Agne, G. Thombansen, L. M. Witschen, F. Kraus, and M. Platzner, “Zynq-based acceleration of robust high density myoelectric signal processing,” Journal of Parallel and Distributed Computing, vol. 123, pp. 77–89, 2019.
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2019 | Journal Article | LibreCat-ID: 12967
T. Hansmeier, M. Platzner, M. J. H. Pantho, and D. Andrews, “An Accelerator for Resolution Proof Checking based on FPGA and Hybrid Memory Cube Technology,” Journal of Signal Processing Systems, vol. 91, no. 11, pp. 1259–1272, 2019.
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2019 | Conference Paper | LibreCat-ID: 15422
N. Ho, P. Kaufmann, and M. Platzner, “Optimization of Application-specific L1 Cache Translation Functions of the LEON3 Processor,” in World Congress on Nature and Biologically Inspired Computing (NaBIC), 2019.
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2019 | Mastersthesis | LibreCat-ID: 15883
S. Kumar Jeyakumar, Incremental learning with Support Vector Machine on embedded platforms. 2019.
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2019 | Mastersthesis | LibreCat-ID: 15920
M. Keerthipati, A Bitstream-Level Proof-Carrying Hardware Technique for Information Flow Tracking. Universität Paderborn, 2019.
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2019 | Mastersthesis | LibreCat-ID: 14831
N. S. Sabu, FPGA Acceleration of String Search Techniques in Huge Data Sets. Paderborn University, 2019.
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2019 | Mastersthesis | LibreCat-ID: 15946
J. Mehta, Multithreaded Software/Hardware Programming with ReconOS/freeRTOS on a Recon􏰃gurable System-on-Chip. 2019.
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2019 | Mastersthesis | LibreCat-ID: 14546
T. Hansmeier, Autonomous Operation of High-Performance Compute Nodes through Self-Awareness and Learning Classifiers. Universität Paderborn, 2019.
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