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.
mapping Directory Reference

Files

file  __init__.py
 
file  data_movement.py
 
file  mapping.py
 
file  mapping_assist_funcs.py
 
file  spatial_mapping.py
 
file  spatial_mapping_internal.py
 
file  temporal_mapping.py
 
file  utils.py