Search Results for author:
Found 2 papers, 0 papers with code
DPRed: Making Typical Activation and Weight Values Matter In Deep Learning Computing
The per group precisions are selected statically for the weights and dynamically by hardware for the activations.
Loom: Exploiting Weight and Activation Precisions to Accelerate Convolutional Neural Networks
LM can trade-off accuracy for additional improvements in execution performance and energy efficiency and compares favorably to an accelerator that targeted only activation precisions.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
