What is it about?

We take inspiration from the domain of VLSI design to divide and conquer the complex and large design space of hardware and neural network co-design. We break down the search into different levels of abstraction, and iteratively reach a co-designed deployment.

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This page is a summary of: HW-FlowQ: A Multi-Abstraction Level HW-CNN Co-design Quantization Methodology, ACM Transactions on Embedded Computing Systems, October 2021, ACM (Association for Computing Machinery),
DOI: 10.1145/3476997.
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