CRIS Current Research Information System
IRIS è la soluzione IT che facilita la raccolta e la gestione dei dati relativi alle attività e ai prodotti della ricerca. Fornisce a ricercatori, amministratori e valutatori gli strumenti per monitorare i risultati della ricerca, aumentarne la visibilità e allocare in modo efficace le risorse disponibili.
EnglishThe End-Nodes of the Internet of Things (IoT) require extreme energy efficiency coupled with wide power performance operating range. Fully-depleted SOI (FD-SOI) is an attractive technology for ultra-low power and wide-range operation as it offers compelling options to tune power, performance, area (PPA) at design time as well as at run time. This paper describes Quentin: an MCU-class (32bit) open source RISC-V SoC featuring an autonomous I/O subsystem optimized to deal with the wide variety of sensors available in IoT end-nodes, coupled with a processor optimized for near threshold computation and a heterogeneous (standard-cell and SRAM) memory architecture to better exploit the low-voltage capabilities of 22nm FDX technology. The system runs up to 2400 million equivalent RV32IMC instructions per second (MOPS) and achieves best power density of 6 μ W/MHz, resulting into an energy efficiency of 433 MOPS/mW.
| Titolo: | Quentin: an ultra-low-power PULPissimo SoC in 22nm FDX | |
| Autore/i: | Schiavone P. D.; Rossi D.; Pullini A.; Di Mauro A.; Conti F.; Benini L. | |
| Autore/i Unibo: | ||
| Anno: | 2018 | |
| Titolo del libro: | 2018 IEEE SOI-3D-Subthreshold Microelectronics Technology Unified Conference, S3S 2018 | |
| Pagina iniziale: | 1 | |
| Pagina finale: | 3 | |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1109/S3S.2018.8640145 | |
| Abstract: | The End-Nodes of the Internet of Things (IoT) require extreme energy efficiency coupled with wide power performance operating range. Fully-depleted SOI (FD-SOI) is an attractive technology for ultra-low power and wide-range operation as it offers compelling options to tune power, performance, area (PPA) at design time as well as at run time. This paper describes Quentin: an MCU-class (32bit) open source RISC-V SoC featuring an autonomous I/O subsystem optimized to deal with the wide variety of sensors available in IoT end-nodes, coupled with a processor optimized for near threshold computation and a heterogeneous (standard-cell and SRAM) memory architecture to better exploit the low-voltage capabilities of 22nm FDX technology. The system runs up to 2400 million equivalent RV32IMC instructions per second (MOPS) and achieves best power density of 6 μ W/MHz, resulting into an energy efficiency of 433 MOPS/mW. | |
| Data stato definitivo: | 28-feb-2020 | |
| Appare nelle tipologie: | 4.01 Contributo in Atti di convegno |
File in questo prodotto:
http://hdl.handle.net/11585/739352
Copyright © 2022