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.
SalsaState Member List

This is the complete list of members for SalsaState, including all inherited members.

__init__(self, Accelerator accelerator, LayerNode layer, SpatialMappingInternal spatial_mapping, list[tuple[LayerDim, UnrollFactorInt]] ordering, str opt_criterion_name, TemporalMappingType mapping_type)SalsaState
acceleratorSalsaState
cmeSalsaState
layerSalsaState
mapping_typeSalsaState
memory_hierarchySalsaState
opt_criterionSalsaState
opt_criterion_nameSalsaState
orderingSalsaState
spatial_mappingSalsaState
swap(self, int i, int j)SalsaState
temporal_mappingSalsaState