10 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.AR2026
Ouroboros: Wafer-Scale SRAM CIM with Token-Grained Pipelining for Large Language Model Inference
Yiqi Liu, Yudong Pan, Mengdi Wang +5
Conventional LLM inference architectures suffer from high energy and latency due to frequent data movement across memory hierarchies. We propose Ouroboros, a wafer-scale SRAM-based…
cs.AR2024★ 10 cited
CIM-MLC: A Multi-level Compilation Stack for Computing-In-Memory Accelerators
Songyun Qu, Shixin Zhao, Bing Li +4
In recent years, various computing-in-memory (CIM) processors have been presented, showing superior performance over traditional architectures. To unleash the potential of various…
cs.LG2019
Accelerating Generative Neural Networks on Unmodified Deep Learning Processors -- A Software Approach
Dawen Xu, Ying Wang, Kaijie Tu +3
Generative neural network is a new category of neural networks and it has been widely utilized in applications such as content generation, unsupervised learning, segmentation and p…