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.
CumulativeCME Member List

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

__add__(self, "CostModelEvaluationABC" other)CostModelEvaluationABC
__init__(self)CumulativeCME
__jsonrepr__(self)CostModelEvaluationABC
__mul__(self, int number)CostModelEvaluationABC
__simplejsonrepr__(self)CostModelEvaluationABC
__str__(self)CumulativeCME
acceleratorCumulativeCME
core(self)CostModelEvaluationABC