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pPIM: A Programmable Processor-in-Memory Architecture With Precision-Scaling for Deep Learning.

, , , , , and . IEEE Comput. Archit. Lett., 19 (2): 118-121 (2020)

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pPIM: A Programmable Processor-in-Memory Architecture With Precision-Scaling for Deep Learning., , , , , and . IEEE Comput. Archit. Lett., 19 (2): 118-121 (2020)Flexible Instruction Set Architecture for Programmable Look-up Table based Processing-in-Memory., , , and . ICCD, page 66-73. IEEE, (2021)Development, implementation, and use of an "equity lens" integrated into an institutional quality scorecard., , , , , and . J. Am. Medical Informatics Assoc., 28 (8): 1785-1790 (2021)Look-up-Table Based Processing-in-Memory Architecture With Programmable Precision-Scaling for Deep Learning Applications., , , , , , and . IEEE Trans. Parallel Distributed Syst., 33 (2): 263-275 (2022)Learning State-Dependent Neural Modulation Policies with Bayesian Optimization., , and . EMBC, page 6454-6457. IEEE, (2019)A characterization of epileptogenesis presented in hippocampal neural activity in a rat tetanus toxin model., , and . EMBC, page 3862-3863. IEEE, (2019)Model-Driven Collection of Neural Modulation Data., , , , , and . NER, page 281-284. IEEE, (2021)The influence of the pre-stimulation neural state on the post-stimulation neural dynamics via distributed microstimulation of the hippocampus., , and . EMBC, page 1810-1813. IEEE, (2016)Bayesian Optimization of Asynchronous Distributed Microelectrode Theta Stimulation and Spatial Memory., , , and . EMBC, page 2683-2686. IEEE, (2018)Towards a platform for prototyping control systems for optimization of neuromodulation therapies., , and . BioCAS, page 1-4. IEEE, (2015)