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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This is the complete list of members for DataDirection, including all inherited members.
RD_OUT_TO_HIGH | DataDirection | static |
RD_OUT_TO_LOW | DataDirection | static |
TypeAlias | DataDirection | static |
WR_IN_BY_HIGH | DataDirection | static |
WR_IN_BY_LOW | DataDirection | static |