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.
Static Public Attributes | List of all members
DataMoveAttr Class Reference
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Static Public Attributes

string DATA_ELEM_MOVE_COUNT = "data_elem_move_count"
 
string DATA_PRECISION = "data_precision"
 
string REQ_MEM_BW_AVER = "req_mem_bw_aver"
 
string REQ_MEM_BW_INST = "req_mem_bw_inst"
 
string DATA_TRANS_PERIOD = "data_trans_period"
 
string DATA_TRANS_PERIOD_COUNT = "data_trans_period_count"
 
string DATA_TRANS_AMOUNT_PER_PERIOD = "data_trans_amount_per_period"
 
string INST_DATA_TRANS_WINDOW = "inst_data_trans_window"
 

Member Data Documentation

◆ DATA_ELEM_MOVE_COUNT

string DATA_ELEM_MOVE_COUNT = "data_elem_move_count"
static

◆ DATA_PRECISION

string DATA_PRECISION = "data_precision"
static

◆ DATA_TRANS_AMOUNT_PER_PERIOD

string DATA_TRANS_AMOUNT_PER_PERIOD = "data_trans_amount_per_period"
static

◆ DATA_TRANS_PERIOD

string DATA_TRANS_PERIOD = "data_trans_period"
static

◆ DATA_TRANS_PERIOD_COUNT

string DATA_TRANS_PERIOD_COUNT = "data_trans_period_count"
static

◆ INST_DATA_TRANS_WINDOW

string INST_DATA_TRANS_WINDOW = "inst_data_trans_window"
static

◆ REQ_MEM_BW_AVER

string REQ_MEM_BW_AVER = "req_mem_bw_aver"
static

◆ REQ_MEM_BW_INST

string REQ_MEM_BW_INST = "req_mem_bw_inst"
static
The documentation for this class was generated from the following file: