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Found 3 papers, 1 papers with code
Mind Mappings: Enabling Efficient Algorithm-Accelerator Mapping Space Search
The key idea is to derive a smooth, differentiable approximation to the otherwise non-smooth, non-convex search space.
Morph: Flexible Acceleration for 3D CNN-based Video Understanding
Morph further achieves a 15. 9x average energy reduction on 3D CNNs when compared to Eyeriss.
UCNN: Exploiting Computational Reuse in Deep Neural Networks via Weight Repetition
This paper studies how weight repetition ---when the same weight occurs multiple times in or across weight vectors--- can be exploited to save energy and improve performance during CNN inference.
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