A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models
The rapid development of large language models (LLMs) has significantly transformed the
field of artificial intelligence, demonstrating remarkable capabilities in natural language …
field of artificial intelligence, demonstrating remarkable capabilities in natural language …
Memory Is All You Need: An Overview of Compute-in-Memory Architectures for Accelerating Large Language Model Inference
Large language models (LLMs) have recently transformed natural language processing,
enabling machines to generate human-like text and engage in meaningful conversations …
enabling machines to generate human-like text and engage in meaningful conversations …
Advancements in Content-Addressable Memory (CAM) Circuits: State-of-the-Art, Applications, and Future Directions in the AI Domain
Content-Addressable Memory (CAM) circuits, distinguished by their ability to accelerate data
retrieval through a direct content-matching function, are increasingly crucial in the era of AI …
retrieval through a direct content-matching function, are increasingly crucial in the era of AI …
Error-Detection Schemes for Analog Content-Addressable Memories
RM Roth - IEEE Transactions on Computers, 2024 - ieeexplore.ieee.org
Analog content-addressable memories (in short, a-CAMs) have been recently introduced as
accelerators for machine-learning tasks, such as tree-based inference or implementation of …
accelerators for machine-learning tasks, such as tree-based inference or implementation of …