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 | Namespaces | Variables
cacti_parser.py File Reference

Classes

class  CactiParser
 Class that provides the interface between ZigZag and CACTI. More...
 

Namespaces

 cacti_parser
 

Variables

 logger = logging.getLogger(__name__)