Row fixed data stream mapping method based on graph segmentation

Row fixed data stream mapping method based on graph segmentation

The invention discloses a row fixed data stream mapping method based on graph segmentation, and mainly solves the problems of limited application scene and low utilization rate of a processing array in the existing row fixed data stream mapping method. The method comprises the following implementati...

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Hauptverfasser: ZHANG BOWEN, WANG KUN, GU HUAXI, YANG YINTANG, YAO XIYUE
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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creator ZHANG BOWEN
WANG KUN
GU HUAXI
YANG YINTANG
YAO XIYUE
description The invention discloses a row fixed data stream mapping method based on graph segmentation, and mainly solves the problems of limited application scene and low utilization rate of a processing array in the existing row fixed data stream mapping method. The method comprises the following implementation steps: 1, acquiring relevant parameters of a convolutional neural network convolutional layer anda processing array; 2, generating a mapping graph according to the parameters of the convolutional layer, and determining relevant parameters of the mapping graph; 3, performing mapping graph segmentation according to the mapping graph parameters and the processing array related parameters; and 4, generating corresponding data flow mapping according to a graph segmentation result. According to the invention, the mapping graph based on the row fixed data flow is segmented and mapped according to the processing array scale; while the high data reusability characteristic of the line fixed data flow is kept, the convolut
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subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
title Row fixed data stream mapping method based on graph segmentation
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