@inproceedings{d613a7d25d6a47a599ab301195fdc231,
title = "A Scalable RISC-V Hardware Platform for Intelligent Sensor Processing",
abstract = "This paper presents a demonstrator chip for an industrial audio event detection application developed as part of the Scale4Edge project. The project aims at enabling a comprehensive RISC-V based ecosystem to efficiently assemble well-tailored edge devices. The chip is manufactured in Globalfoundries' 22FDX technology and contains a RISC-V CPU with custom Instruction-Set-Architecture Extensions (ISAX) for fast AI and DSP processing, a low power neural network accelerator, and a scalable PLL to fulfill real-time processing requirements. By automated integration of these specialized hardware components, we achieve a speedup of ×2.15 while reducing the power by 27% compared to the unp[ntimized solution.",
keywords = "AI, ecosystem, edge applications, IoT, RISC-V",
author = "Bernardo, {Paul Palomero} and Patrick Schmid and Oliver Bringmann and Mohammed Iftekhar and Babak Sadiye and Wolfgang Mueller and Andreas Koch and Eyck Jentzsch and Axel Sauer and Ingo Feldner and Wolfgang Ecker",
note = "Publisher Copyright: {\textcopyright} 2024 EDAA.; 2024 Design, Automation and Test in Europe Conference and Exhibition, DATE 2024 ; Conference date: 25-03-2024 Through 27-03-2024",
year = "2024",
language = "English",
series = "Proceedings -Design, Automation and Test in Europe, DATE",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2024 Design, Automation and Test in Europe Conference and Exhibition, DATE 2024 - Proceedings",
}