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Author

Johannes Partzsch

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Jul 2026

A Low-Power Sparse Convolution Accelerator with Idle-First-Task-Assignment for Edge Vision

This paper presents a low-power sparse convolution accelerator for edge devices, fabricated and validated in a 16 nm process that adopts a bitmap-based format for compression in both data transmission and computation, effectively reducing memory and bandwidth overhead.

Jingyue Zhuge, Johannes Partzsch, Christian Mayr · 0 citations

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