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ModelCIMs_framework

The ModelCIMs framework has been developed for the training of CNNs/DNNs aware of SRAM-based compute in-memory accelerators non-idealities.

--- Copyright/referencing ---

Usage of this framework is subject to copyright policies. Please cite the original research paper "A. Kneip et al., A 1-to-4b 16.8-POPS/W 473-TOPS/mm2 6T-based In-Memory Computing SRAM in 22nm FD-SOI with Multi-Bit Analog Batch-Normalization, Proceedings of IEEE ESSCIRC 2022, pp. 1-4" when using it for academic or industrial purpose.

--- Framework usage ---

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