11 citations · 11 across the 2 of their papers we have counts for
2 papers
cs.AR2025
Hemlet: A Heterogeneous Compute-in-Memory Chiplet Architecture for Vision Transformers with Group-Level Parallelism
Cong Wang, Zexin Fu, Jiayi Huang +1
Vision Transformers (ViTs) have established new performance benchmarks in vision tasks such as image recognition and object detection. However, these advancements come with signifi…
cs.AI2024★ 11 cited
MICSim: A Modular Simulator for Mixed-signal Compute-in-Memory based AI Accelerator
Cong Wang, Zeming Chen, Shanshi Huang
This work introduces MICSim, an open-source, pre-circuit simulator designed for early-stage evaluation of chip-level software performance and hardware overhead of mixed-signal comp…