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 CactiConfig, including all inherited members.
__init__(self) | CactiConfig | |
baseline_config | CactiConfig | |
cacti_auto(self, list[Any] user_input, str path) | CactiConfig | |
call_cacti(self, str path) | CactiConfig | |
change_default_value(self, list[str] name_list, list[Any] new_value_list) | CactiConfig | |
write_config(self, list[Any] user_config, str path) | CactiConfig |