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PANNA: A 558 TOPS/W Pipelined All-Analog Neural Network Accelerator in 22 nm FD-SOI

PANNA: A 558 TOPS/W Pipelined All-Analog Neural Network Accelerator in 22 nm FD-SOI 150 150
Author(s): Jakob Finkbeiner, Raphael Nägele, Manuel Wittlinger, Markus Grözing, Manfred Berroth, Georg Rademacher

Abstract:

Analog computing offers intrinsic energy and latency benefits that makes it attractive for real-time and edge applications. Conventional analog accelerators suffer from repeated conversions between analog and digital domain, which degrades efficiency and throughput. We propose an all-analog pipelined neural network accelerator architecture in 22 nm fully-depleted silicon-on-insulator (FD-SOI) complementary metal-oxide-semiconductor (…

Published in: IEEE Solid-State Circuits Letters
Page(s): 365 – 368
Year of Publication: 2025
Electronic ISSN: 2573-9603
DOI: 10.1109/LSSC.2025.3627274
Publisher: IEEE

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A Linear Dynamic Voltage Scaling Technique With Adaptive Minimum Voltage Headroom Tracking for Implantable Neurostimulation

A Linear Dynamic Voltage Scaling Technique With Adaptive Minimum Voltage Headroom Tracking for Implantable Neurostimulation 150 150
Author(s): Kai Cui, Honglei Xu, Yingduo Duan, Yan Lu, Xiaoya Fan, Yanzhao Ma

Abstract:

This letter presents a linear dynamic voltage scaling (DVS) technique using a dual-loop multistage charge-pump maintaining the minimum voltage headroom for implantable neurostimulation. By adopting an analog DVS with adaptive feedback divider, the stimulus current source could be always kept operating at the boundary of the saturation region and the …

Published in: IEEE Solid-State Circuits Letters
Page(s): 261 – 264
Year of Publication: 2025
Electronic ISSN: 2573-9603
DOI: 10.1109/LSSC.2025.3608096
Publisher: IEEE

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