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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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Classes | |
| class | OperationalArrayABC |
| Abstract base class for every concept that can do computations. More... | |
| class | OperationalArray |
| This class captures multi-dimensional operational array size. More... | |
| class | MultiplierArray |
Namespaces | |
| architecture.operational_array | |