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 MappingFactory, including all inherited members.
__init__(self, str layer_name, str operation_type, list[dict[str, Any]] mapping_data) | MappingFactory | |
create_mapping_single_oa_dim(self, list[str] mapping_data) | MappingFactory | |
create_memory_operand_links(self) | MappingFactory | |
create_spatial_mapping(self) | MappingFactory | |
create_spatial_mapping_hint(self) | MappingFactory | |
create_temporal_ordering(self) | MappingFactory | |
mapping_data | MappingFactory |