A Full-system, Programmable, and Extensible In-Memory Computing Simulation Framework for Deep Learning

In-memory computing (IMC) has established itself as an attractive alternative to hardware accelerators in addressing the memory wall problem for artificial intelligence (AI) workloads. However, designing programmable IMC-based computing platforms for today's large generative AI models, such as...

Full description

Bibliographic Details

Published in:	2025 62nd ACM/IEEE Design Automation Conference (DAC) pp. 1 - 7
Main Authors:	Zhou, Kaining, Huang, Jian, Kim, Nam Sung, Shanbhag, Naresh
Format:	Conference Proceeding
Language:	English
Published:	IEEE 22.06.2025
Subjects:	Computational modeling Computer architecture Deep learning Design tools In-memory computing Integrated circuit modeling Signal to noise ratio Software Tensors Transformers
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!