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cs.AR2021★ 26 cited
Impact of On-Chip Interconnect on In-Memory Acceleration of Deep Neural Networks
Gokul Krishnan, Sumit K. Mandal, Chaitali Chakrabarti +3
With the widespread use of Deep Neural Networks (DNNs), machine learning algorithms have evolved in two diverse directions -- one with ever-increasing connection density for better…
cs.AR2021
Hybrid In-memory Computing Architecture for the Training of Deep Neural Networks
Vinay Joshi, Wangxin He, Jae-sun Seo +1
The cost involved in training deep neural networks (DNNs) on von-Neumann architectures has motivated the development of novel solutions for efficient DNN training accelerators. We…