Lifetime-Aware Design for Item-Level Intelligence at the Extreme Edge

Shvetank Prakash; Andrew Cheng; Olof Kindgren; Ashiq Ahamed; Graham Knight; Jed Kufel; Francisco Rodriguez; Arya Tschand; David Kong; Mariam Elgamal; Jerry Huang; Emma Chen; Gage Hills; Richard Price; Emre Ozer; Vijay Janapa Reddi

arXiv · 2509.08193

Lifetime-Aware Design for Item-Level Intelligence at the Extreme Edge

Shvetank Prakash·Andrew Cheng·Olof Kindgren·Ashiq Ahamed·Graham Knight·Jed Kufel·Francisco Rodriguez·Arya Tschand·David Kong·Mariam Elgamal·Jerry Huang·Emma Chen·Gage Hills·Richard Price·Emre Ozer·Vijay Janapa Reddi

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Abstract

We present FlexiFlow, a lifetime-aware design framework for item-level intelligence (ILI) where computation is integrated directly into disposable products like food packaging and medical patches. Our framework leverages natively flexible electronics which offer significantly lower costs than silicon but are limited to kHz speeds and several thousands of gates. Our insight is that unlike traditional computing with more uniform deployment patterns, ILI applications exhibit 1000X variation in operational lifetime, fundamentally changing optimal architectural design decisions when considering trillion-item deployment scales. To enable holistic design and optimization, we model the trade-offs between embodied carbon footprint and operational carbon footprint based on application-specific lifetimes. The framework includes: (1) FlexiBench, a workload suite targeting sustainability applications from spoilage detection to health monitoring; (2) FlexiBits, area-optimized RISC-V cores with 1/4/8-bit datapaths achieving 2.65X to 3.50X better energy efficiency per workload execution; and (3) a carbon-aware model that selects optimal architectures based on deployment characteristics. We show that lifetime-aware microarchitectural design can reduce carbon footprint by 1.62X, while algorithmic decisions can reduce carbon footprint by 14.5X. We validate our approach through the first tape-out using a PDK for flexible electronics with fully open-source tools, achieving 30.9kHz operation. FlexiFlow enables exploration of computing at the Extreme Edge where conventional design methodologies must be reevaluated to account for new constraints and considerations.

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Shvetank Prakash, Andrew Cheng, Olof Kindgren, Ashiq Ahamed, Graham Knight, Jed Kufel, Francisco Rodriguez, Arya Tschand, David Kong, Mariam Elgamal, Jerry Huang, Emma Chen, Gage Hills, Richard Price, Emre Ozer, Vijay Janapa Reddi. 2026-04-10. Lifetime-Aware Design for Item-Level Intelligence at the Extreme Edge. https://arxiv.org/abs/2509.08193

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