ZigZag - Deep Learning Hardware Design Space Exploration
This repository presents the novel version of our tried-and-tested hardware Architecture-Mapping Design Space Exploration (DSE) Framework for Deep Learning (DL) accelerators. ZigZag bridges the gap between algorithmic DL decisions and their acceleration cost on specialized accelerators through a fast and accurate hardware cost estimation.
Namespaces
zigzag Namespace Reference

Namespaces

 __main__
 
 api
 
 cost_model
 
 datatypes
 
 mapping
 
 opt
 
 parser
 
 stages
 
 utils
 
 visualization
 
 workload