Abstract:
This article describes methodologies and tools for the customization of convolutional neural networks (CNNs) using fine-grained reconfiguration of FPGAs. Tuning uses dyna...View moreMetadata
Abstract:
This article describes methodologies and tools for the customization of convolutional neural networks (CNNs) using fine-grained reconfiguration of FPGAs. Tuning uses dynamic programming to identify reconfiguration opportunities as well as a search algorithm for configurations.
Published in: IEEE Design & Test ( Volume: 37, Issue: 1, February 2020)