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.
AccessEnergy Member List

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

__add__(self, "FourWayDataMoving[float]" other)AccessEnergy
zigzag::mapping::data_movement::FourWayDataMoving.__add__(self, "FourWayDataMoving[T]" other)FourWayDataMoving
__init__(self, dict[DataDirection, T]|None data=None)FourWayDataMoving
__jsonrepr__(self)FourWayDataMoving
__mul__(self, float scalar)AccessEnergy
zigzag::mapping::data_movement::FourWayDataMoving.__mul__(self, T scalar)FourWayDataMoving
__repr__(self)FourWayDataMoving
get(self, DataDirection direction)FourWayDataMoving
set(self, DataDirection direction, T value)FourWayDataMoving