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.
Classes
architecture.operational_array Namespace Reference

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