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Pianissimo: A Sub-mW Class DNN Accelerator with Progressive Bit-by-Bit Datapath Architecture for Adaptive Inference at Edge | IEEE Conference Publication | IEEE Xplore

Pianissimo: A Sub-mW Class DNN Accelerator with Progressive Bit-by-Bit Datapath Architecture for Adaptive Inference at Edge


Abstract:

Pianissimo is a sub-mW class inference accelerator that adaptively responds to the changing edge environmental conditions with a progressive bit-by-bit datapath architect...Show More

Abstract:

Pianissimo is a sub-mW class inference accelerator that adaptively responds to the changing edge environmental conditions with a progressive bit-by-bit datapath architecture. SWHW cooperative control with the custom RISC and the HW counters allows Pianissimo adaptive/mixed precision and block skip, providing a better accuracy-computation tradeoff for low-power edge AI. The 40 nm chip, with 1104 KB memory, dissipates 793-1032\muW at 0.7 V on MobileNetVl, achieving 0. 49-1.25TOPS/W at this ultra-low power range.
Date of Conference: 11-16 June 2023
Date Added to IEEE Xplore: 24 July 2023
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Conference Location: Kyoto, Japan

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