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...

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Vydané v:	2025 62nd ACM/IEEE Design Automation Conference (DAC) s. 1 - 7
Hlavní autori:	Zhou, Kaining, Huang, Jian, Kim, Nam Sung, Shanbhag, Naresh
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 22.06.2025
Predmet:	Computational modeling Computer architecture Deep learning Design tools In-memory computing Integrated circuit modeling Signal to noise ratio Software Tensors Transformers
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