Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator

11 Feb 2020Mohamed S. AbdelfattahŁukasz DudziakThomas ChauRoyson LeeHyeji KimNicholas D. Lane

Neural architecture search (NAS) has been very successful at outperforming human-designed convolutional neural networks (CNN) in accuracy, and when hardware information is present, latency as well. However, NAS-designed CNNs typically have a complicated topology, therefore, it may be difficult to design a custom hardware (HW) accelerator for such CNNs... (read more)

PDF Abstract

Evaluation Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.