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.
Multiplier Member List

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

__eq__(self, object other)OperationalUnit
__init__(self, float energy_cost, float area)OperationalUnit
__jsonrepr__(self)OperationalUnit
areaOperationalUnit
energy_costOperationalUnit