Emerging applications in the IoT domain require ultra-low-power and high-performance end-nodes to deal with complex near-sensor-data analytics. Domains such as audio, radar, and Structural Health Monitoring require many computations to be performed in the frequency domain rather than in the time domain. We present Echoes, a System-On-a-Chip (SoC) composed of a RISC-V core enhanced with fixed- and floating-point digital signal processing (DSP) extensions and a Fast-Fourier Transform (FFT) hardware accelerator targeting emerging frequency-domain application. The proposed SoC features an autonomous I/O engine supporting a wide set of peripherals, including Ultra-Low-Power radars, MEMS, and digital microphones over I2S protocol with full-duplex Time Division Multiplexing DSP mode, making Echoes the first open-source SoC which offers this functionality enabling simultaneous communication with up to 16 I/Os devices. Echoes, fabricated with 65nm CMOS technology, reaches a peak performance of 0.16 GFLOPS and a peak energy efficiency of 9.68 GFLOPS/W on a wide range of floating and fixed-point general-purpose DSP kernels. The FFT accelerator achieves performance up to 10.16 GOPS with an efficiency of 199.8 GOPS/W, improving performance and efficiency by up to 41.1× and 11.2×, respectively, over its software implementation of this critical task for frequency domain processing.

ECHOES: a 200 GOPS/W Frequency Domain SoC with FFT Processor and I2S DSP for Flexible Data Acquisition from Microphone Arrays / Sinigaglia, M.; Bertaccini, L.; Valente, L.; Garofalo, A.; Benatti, S.; Benini, L.; Conti, F.; Rossi, D.. - 2023-:(2023), pp. 1-5. (Intervento presentato al convegno 56th IEEE International Symposium on Circuits and Systems, ISCAS 2023 tenutosi a usa nel 2023) [10.1109/ISCAS46773.2023.10181862].

ECHOES: a 200 GOPS/W Frequency Domain SoC with FFT Processor and I2S DSP for Flexible Data Acquisition from Microphone Arrays

Sinigaglia M.;Benatti S.;Benini L.;
2023

Abstract

Emerging applications in the IoT domain require ultra-low-power and high-performance end-nodes to deal with complex near-sensor-data analytics. Domains such as audio, radar, and Structural Health Monitoring require many computations to be performed in the frequency domain rather than in the time domain. We present Echoes, a System-On-a-Chip (SoC) composed of a RISC-V core enhanced with fixed- and floating-point digital signal processing (DSP) extensions and a Fast-Fourier Transform (FFT) hardware accelerator targeting emerging frequency-domain application. The proposed SoC features an autonomous I/O engine supporting a wide set of peripherals, including Ultra-Low-Power radars, MEMS, and digital microphones over I2S protocol with full-duplex Time Division Multiplexing DSP mode, making Echoes the first open-source SoC which offers this functionality enabling simultaneous communication with up to 16 I/Os devices. Echoes, fabricated with 65nm CMOS technology, reaches a peak performance of 0.16 GFLOPS and a peak energy efficiency of 9.68 GFLOPS/W on a wide range of floating and fixed-point general-purpose DSP kernels. The FFT accelerator achieves performance up to 10.16 GOPS with an efficiency of 199.8 GOPS/W, improving performance and efficiency by up to 41.1× and 11.2×, respectively, over its software implementation of this critical task for frequency domain processing.
2023
56th IEEE International Symposium on Circuits and Systems, ISCAS 2023
usa
2023
2023-
1
5
Sinigaglia, M.; Bertaccini, L.; Valente, L.; Garofalo, A.; Benatti, S.; Benini, L.; Conti, F.; Rossi, D.
ECHOES: a 200 GOPS/W Frequency Domain SoC with FFT Processor and I2S DSP for Flexible Data Acquisition from Microphone Arrays / Sinigaglia, M.; Bertaccini, L.; Valente, L.; Garofalo, A.; Benatti, S.; Benini, L.; Conti, F.; Rossi, D.. - 2023-:(2023), pp. 1-5. (Intervento presentato al convegno 56th IEEE International Symposium on Circuits and Systems, ISCAS 2023 tenutosi a usa nel 2023) [10.1109/ISCAS46773.2023.10181862].
File in questo prodotto:
File Dimensione Formato  
2305.07325.pdf

Open Access dal 01/06/2024

Tipologia: Versione dell'autore revisionata e accettata per la pubblicazione
Dimensione 3.54 MB
Formato Adobe PDF
3.54 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1315494
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact