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RedMulE: A Compact FP16 Matrix-Multiplication Accelerator for Adaptive Deep Learning on RISC-V-Based Ultra-Low-Power SoCs.
Yvan Tortorella
Luca Bertaccini
Davide Rossi
Luca Benini
Francesco Conti
Published in:
CoRR (2022)
Keyphrases
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deep learning
matrix multiplication
unsupervised learning
machine learning
mental models
unsupervised feature learning
weakly supervised
ultra low power
real time
data mining
co occurrence
higher order
low cost
topic models
matrix factorization
message passing