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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.
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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] | |