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.
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This is the complete list of members for CostModelEvaluationABC, including all inherited members.
__add__(self, "CostModelEvaluationABC" other) | CostModelEvaluationABC | |
__init__(self) | CostModelEvaluationABC | |
__jsonrepr__(self) | CostModelEvaluationABC | |
__mul__(self, int number) | CostModelEvaluationABC | |
__simplejsonrepr__(self) | CostModelEvaluationABC | |
core(self) | CostModelEvaluationABC |