PIMCaffe: Functional Evaluation of a Machine Learning Framework for In-Memory Neural Processing Unit

PIMCaffe: Functional Evaluation of a Machine Learning Framework for In-Memory Neural Processing Unit

The large amount of memory usage in recent machine learning applications imposes a significant system burden with respect to power and processing speed. To cope with such a problem, Processing-In-Memory (PIM) techniques can be applied as an alternative solution. Especially, the recommendation system...

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Bibliographic Details
Main Authors: Won Jeon, Jiwon Lee, Dongseok Kang, Hongju Kal, Won Woo Ro
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Deep learning framework
recommendation system
processing-in-memory
neural processing unit
FPGA prototyping
functionality
Online Access:https://ieeexplore.ieee.org/document/9469808/

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