most citedMemory Is All You Need: An Overview of Compute-in-Memory Architectures for Accelerating Large Language Model Inference

9 citations · 9 across the 2 of their papers we have counts for

collaborators

2 papers

cs.AR2024★ 9 cited

Memory Is All You Need: An Overview of Compute-in-Memory Architectures for Accelerating Large Language Model Inference

Christopher Wolters, Xiaoxuan Yang, Ulf Schlichtmann +1

Large language models (LLMs) have recently transformed natural language processing, enabling machines to generate human-like text and engage in meaningful conversations. This devel…

cs.NE2022

Biologically Plausible Learning on Neuromorphic Hardware Architectures

Christopher Wolters, Brady Taylor, Edward Hanson +3

With an ever-growing number of parameters defining increasingly complex networks, Deep Learning has led to several breakthroughs surpassing human performance. As a result, data mov…