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.
Namespaces
architecture Namespace Reference

Namespaces

 accelerator
 
 get_cacti_cost
 
 imc_array
 
 imc_unit
 
 memory_hierarchy
 
 memory_instance
 
 memory_level
 
 memory_port
 
 operational_array
 
 operational_unit