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.stages Namespace Reference

Namespaces

 exploit_data_locality_stages
 ZigZag simulates a workload layer-by-layer.
 
 main
 
 run_opt_stages
 
 stage
 
 workload_iterator