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pro vyhledávání: '"Nazareno Bruschi"'
Publikováno v:
Proceedings of the 17th ACM International Conference on Computing Frontiers
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The deployment of Quantized Neural Networks (QNN) on advanced microcontrollers requires optimized software to exploit digital signal processing (DSP) extensions of modern instruction set architectures (ISA). As such, recent research proposed optimize
Autor:
Angelo Garofalo, Giuseppe Tagliavini, Nazareno Bruschi, Alessio Burrello, Francesco Conti, Davide Rossi
Publikováno v:
IEEE Transactions on Computers
The deployment of Deep Neural Networks (DNNs) on end-nodes at the extreme edge of the Internet-of-Things is a critical enabler to support pervasive Deep Learning-enhanced applications. Low-Cost MCU-based end-nodes have limited on-chip memory and ofte