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.
memory_hierarchy.py File Reference

Namespaces

 zigzag.visualization.graph.memory_hierarchy
 

Functions

def visualize_memory_hierarchy_graph (MemoryHierarchy graph, str save_path="")
 Visualizes a memory hierarchy graph. More...
 

Variables

 list_of_cme = pickle.load(handle)
 
 cme = list_of_cme[0]