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.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] | |