2 papers
cs.AR2026
FusionCIM: Accelerating LLM Inference with Fusion-Driven Computing-in-Memory Architecture
Zihao Xuan, Jia Chen, Yewen Li +4
In this paper, we propose FusionCIM, an operator-fusion-driven compute-in-memory (CIM) accelerator architecture for efficient and scalable LLM inference, with three key innovations…
physics.optics2023
Retrieving positions of closely packed sub-wavelength nanoparticles from their diffraction patterns
Benquan Wang, Ruyi An, Eng Aik Chan +6
Distinguishing two objects or point sources located closer than the Rayleigh distance is impossible in conventional microscopy. Understandably, the task becomes increasingly harder…