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 | Functions | Variables
utils.py File Reference

Namespaces

 zigzag.mapping.utils
 

Functions

def get_spatial_loops (CostModelEvaluation cme)
 
def get_temporal_loops (CostModelEvaluation cme)
 
def get_memory_names (CostModelEvaluation cme)
 

Variables

 TypeAlias