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Model-based Design of Efficient LDPC Decoder Architectures., , , и . ISTC, стр. 1-5. IEEE, (2018)Networked Self-adaptive Systems: An Opportunity for Configuring in the Large., , , , , , , и . ERSA, стр. 81-90. CSREA Press, (2009)Methodology to Adapt Neural Network on Constrained Device at Topology level., , , , , и . SiPS, стр. 1-6. IEEE, (2022)An Energy Efficient and Scalable Node Architecture for Sensor Network., , , и . NEWCAS, стр. 1-4. IEEE, (2021)A High Throughput Efficient Approach for Decoding LDPC Codes onto GPU Devices., , и . IEEE Embed. Syst. Lett., 6 (2): 29-32 (2014)Model-Based Design of Flexible and Efficient LDPC Decoders on FPGA Devices., , , и . J. Signal Process. Syst., 92 (7): 727-745 (2020)Lynq: A Lightweight Software Layer for Rapid SoC FPGA Prototyping., , , и . FPL, стр. 372-375. IEEE Computer Society, (2018)From multicore LDPC decoder implementations to FPGA decoder architectures: a case study., , , и . ICECS, стр. 89-92. IEEE, (2018)SecURe DPR: Secure update preventing replay attacks for dynamic partial reconfiguration., , , , и . FPL, стр. 57-62. IEEE, (2012)Self-reconfigurable Embedded Systems: From Modeling to Implementation., , , , , , , и . ERSA, стр. 84-96. CSREA Press, (2010)