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Instrumenting Parametric Physical Layout for Multi-objective Optimisation.

, , and . SSCI, page 1339-1345. IEEE, (2018)

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Multi-objective Optimisation of Digital Circuits based on Cell Mapping in an Industrial EDA Flow., , and . CoRR, (2021)Variability mapping at runtime using the PAnDA multi-reconfigurable architecture., , , and . ASP-DAC, page 41-42. IEEE, (2017)A Multi-objective Evolutionary Approach for Efficient Kernel Size and Shape for CNN., , , and . IJCNN, page 1-8. IEEE, (2022)Approximate Multiply-Accumulate Array for Convolutional Neural Networks on FPGA., , , and . ReCoSoC, page 35-42. IEEE, (2019)PAnDA: A Reconfigurable Architecture that Adapts to Physical Substrate Variations., , , and . IEEE Trans. Computers, 62 (8): 1584-1596 (2013)Two step evolution strategy for device motif BSIM model parameter extraction., , , , and . IEEE Congress on Evolutionary Computation, page 2877-2884. IEEE, (2014)Implementation of Reduced Precision Integer Epigenetic Networks in Hardware., , and . SSCI, page 1-9. IEEE, (2021)Exploiting the reconfigurability of the PAnDA architecture to overcome physical substrate variations., , , and . ICES, page 37-42. IEEE, (2013)Optimising ring oscillator frequency on a novel FPGA device via partial reconfiguration., , , , and . ICES, page 93-100. IEEE, (2014)Instrumenting Parametric Physical Layout for Multi-objective Optimisation., , and . SSCI, page 1339-1345. IEEE, (2018)