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.
|
This is the complete list of members for MemoryPort, including all inherited members.
__eq__(self, Any other) | MemoryPort | |
__hash__(self) | MemoryPort | |
__init__(self, str port_name, MemoryPortType type, int bandwidth_min, int bandwidth_max, int|None port_id=None) | MemoryPort | |
__repr__(self) | MemoryPort | |
__str__(self) | MemoryPort | |
add_port_function(self, OperandDirection operand_level_direction) | MemoryPort | |
bw_max | MemoryPort | |
bw_min | MemoryPort | |
name | MemoryPort | |
port_id | MemoryPort | |
port_id_counter | MemoryPort | static |
port_is_shared_by_two_input_operands(self) | MemoryPort | |
type | MemoryPort |