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cs.AR2025
CIMPool: Scalable Neural Network Acceleration for Compute-In-Memory using Weight Pools
Shurui Li, Puneet Gupta
Compute-in-memory (CIM) based neural network accelerators offer a promising solution to the Von Neumann bottleneck by computing directly within memory arrays. However, SRAM CIM fac…
physics.optics2025
Near-energy-free Photonic Fourier Transformation for Convolution Operation Acceler
Hangbo Yang, Nicola Peserico, Shurui Li +7
Convolutional operations are computationally intensive in artificial intelligence services, and their overhead in electronic hardware limits machine learning scaling. Here, we intr…