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
zigzag.parser.accelerator_factory Namespace Reference

Classes

class  AcceleratorFactory
 Converts valid user-provided accelerator data into an Accelerator instance. More...
 
class  MemoryFactory
 Create MemoryInstances and adds them to memory hierarchy. More...