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.
Classes
plot_temporal_mapping Namespace Reference

Classes

class  PlotTemporalMappingsStage
 Class that passes through all results yielded by substages, but keeps the TMs cme's and saves a plot. More...