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DNN+NeuroSim: Benchmarking CIM Accelerators by yixiaobin123 is a document available to read on EtoBox.

What is DNN+NeuroSim: Benchmarking CIM Accelerators about?

DNN+NeuroSim is a comprehensive benchmarking framework designed for compute-in-memory (CIM) accelerators tailored for deep neural networks, facilitating the evaluation of various device technologies from SRAM to emerging non-volatile memories. The framework integrates with popular machine learning platforms and assesses performance and inference accuracy while considering hardware constraints. It also explores the impacts of reliability in analog devices and ADC quantization on inference accuracy, providing

Author

yixiaobin123

Language

EN