468 citations · 483 across the 8 of their papers we have counts for
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cs.AR2025
AutoRAC: Automated Processing-in-Memory Accelerator Design for Recommender Systems
Feng Cheng, Tunhou Zhang, Junyao Zhang +6
The performance bottleneck of deep-learning-based recommender systems resides in their backbone Deep Neural Networks. By integrating Processing-In-Memory~(PIM) architectures, resea…
cs.AR2023★ 2 cited
Analog, In-memory Compute Architectures for Artificial Intelligence
Patrick Bowen, Guy Regev, Nir Regev +3
This paper presents an analysis of the fundamental limits on energy efficiency in both digital and analog in-memory computing architectures, and compares their performance to singl…