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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…
cs.AR2022
PhotoFourier: A Photonic Joint Transform Correlator-Based Neural Network Accelerator
Shurui Li, Hangbo Yang, Chee Wei Wong +2
The last few years have seen a lot of work to address the challenge of low-latency and high-throughput convolutional neural network inference. Integrated photonics has the potentia…