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Tutorial: FINN HLS Library - Hardware Scheduling and Folding
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Last Updated: September 26, 2026
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Mixing machine learning into high-throughput, low-latency edge applications needs co-designed solutions to meet the ... Authors: Bohan Zhuang, Lingqiao Liu, Mingkui Tan, Chunhua Shen, Ian Reid Description: In this paper, we seek to tackle a ... An important next milestone in machine learning is to bring intelligence at the edge without relying on the computational power of ... Authors: Qing Jin, Linjie Yang, Zhenyu Liao Description: Deep Qualcomm AI Research has been developing state-of-the-art Subutai gives a basic overview of Are you planning to deploy a deep learning model on any edge device (microcontrollers, cell phone or wearable device)? This video provides a deep dive of the FINN HLS library, with an analysis on hardware scheduling and folding in
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