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.mapping Namespace Reference

Namespaces

 data_movement
 
 mapping
 
 mapping_assist_funcs
 
 spatial_mapping
 
 spatial_mapping_internal
 
 temporal_mapping
 
 utils