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pro vyhledávání: '"Beomseok Kang"'
Autor:
Daehyun Kim, Biswadeep Chakraborty, Xueyuan She, Edward Lee, Beomseok Kang, Saibal Mukhopadhyay
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
We present a processing-in-memory (PIM)-based hardware platform, referred to as MONETA, for on-chip acceleration of inference and learning in hybrid convolutional spiking neural network. MONETAuses 8T static random-access memory (SRAM)-based PIM core
Externí odkaz:
https://doaj.org/article/1ede96b007f340e3a27859ffc0b1a887
Publikováno v:
IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 11:649-662
We present a genetic algorithm based energy-aware convolutional neural network (CNN) quantization framework (EGQ) for processing-in-memory (PIM) architectures. EGQ predicts layer-wise dynamic energy consumption based on the number of ADC access. Also
Autor:
Jaegwan Shin, Jinwoo Kwak, Sangwon Kim, Changgil Son, Beomseok Kang, Yong-Gu Lee, Kangmin Chon
Publikováno v:
Environmental Research. 231:116266
Autor:
Daehyun Kim, Biswadeep Chakraborty, Xueyuan She, Edward Lee, Beomseok Kang, Saibal Mukhopadhyay
Publikováno v:
Frontiers in neuroscience. 16
We present a processing-in-memory (PIM)-based hardware platform, referred to as MONETA, for on-chip acceleration of inference and learning in hybrid convolutional spiking neural network. MONETAuses 8T static random-access memory (SRAM)-based PIM core