Open-Source Heterogeneous SoCs for AI: The PULP Platform Experience

Autor:	Conti, Francesco, Garofalo, Angelo, Rossi, Davide, Tagliavini, Giuseppe, Benini, Luca
Rok vydání:	2024
Předmět:	Computer Science - Hardware Architecture Computer Science - Neural and Evolutionary Computing Electrical Engineering and Systems Science - Signal Processing
Druh dokumentu:	Working Paper
Popis:	Since 2013, the PULP (Parallel Ultra-Low Power) Platform project has been one of the most active and successful initiatives in designing research IPs and releasing them as open-source. Its portfolio now ranges from processor cores to network-on-chips, peripherals, SoC templates, and full hardware accelerators. In this article, we focus on the PULP experience designing heterogeneous AI acceleration SoCs - an endeavour encompassing SoC architecture definition; development, verification, and integration of acceleration IPs; front- and back-end VLSI design; testing; development of AI deployment software. Comment: Preprinted submitted to IEEE Solid-State Circuits Magazine
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2412.20391 Zobrazit plný text záznamu View this record from Arxiv