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PULP-TCN: Optimizing temporal convolutional networks on ultra-low power multi-core RISC-V based edge nodes

Alberto Dequino

PULP-TCN: Optimizing temporal convolutional networks on ultra-low power multi-core RISC-V based edge nodes.

Rel. Daniele Jahier Pagliari. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2020

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Abstract:

PULP-TCN: Optimizing temporal convolutional networks on ultra-low power multi-core RISC-V based edge nodes
Relators: Daniele Jahier Pagliari
Academic year: 2019/20
Publication type: Electronic
Number of Pages: 68
Subjects:
Corso di laurea: Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering)
Classe di laurea: New organization > Master science > LM-32 - COMPUTER SYSTEMS ENGINEERING
Aziende collaboratrici: UNSPECIFIED
URI: http://webthesis.biblio.polito.it/id/eprint/15360
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