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A Runtime Reconfigurable Design of Compute-in-Memory-Based Hardware Accelerator for Deep Learning Inference.
Anni Lu
Xiaochen Peng
Yandong Luo
Shanshi Huang
Shimeng Yu
Published in:
ACM Trans. Design Autom. Electr. Syst. (2021)
Keyphrases
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deep learning
field programmable gate array
low cost
hardware implementation
machine learning
information retrieval
image processing
embedded systems
weakly supervised
decision making
pattern recognition
d objects
co occurrence
unsupervised learning