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.
MultiplierArray Member List

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

__eq__(self, Any other)OperationalArray
__init__(self, Multiplier multiplier, dict[OADimension, int] dimensions, dict[str, set[tuple[int,...]]]|None operand_spatial_sharing=None)MultiplierArray
architecture::operational_array::OperationalArray.__init__(self, OperationalUnit operational_unit, dict[OADimension, int] dimension_sizes)OperationalArray
architecture::operational_array::OperationalArrayABC.__init__(self, dict[OADimension, int] dimension_sizes)OperationalArrayABC
__jsonrepr__(self)OperationalArray
dimension_sizesOperationalArray
multiplierMultiplierArray
operand_spatial_sharingMultiplierArray
total_areaOperationalArray
total_unit_countOperationalArray
unitOperationalArray