A Simulator for Executing Matrix-Vector Multiplications on Analog Computing-in-Memory Crossbars
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Updated
Nov 27, 2025 - C++
A Simulator for Executing Matrix-Vector Multiplications on Analog Computing-in-Memory Crossbars
Automated design space exploration for BNNs and TNNs on RRAM crossbars
[Nature Communications 2025] "Random resistive memory-based extreme point learning machine for unified visual processing."
NeuroX: A PyTorch-based neuromorphic computing simulation framework that unifies algorithmic accuracy verification with circuit-level PPA evaluation, enabling algorithm–hardware co-design from device physics to AI models.
This project aim to develop a fault simulation engine that can calculate the fault coverage of different testing algorithm
CIM-AQ: CIM-aware Automated Quantization with Mixed Precision
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