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dc.contributor.advisor 궁재하 -
dc.contributor.author Jooyeon Lee -
dc.date.accessioned 2022-07-07T02:29:23Z -
dc.date.available 2022-07-07T02:29:23Z -
dc.date.issued 2021 -
dc.identifier.uri http://dgist.dcollection.net/common/orgView/200000366431 en_US
dc.identifier.uri http://hdl.handle.net/20.500.11750/16728 -
dc.description.statementofresponsibility N -
dc.description.tableofcontents Ⅰ. Introduction 1
Ⅱ. Background 1
2.1 Multilayer Neural Networks 1
2.2 Convolution Neural Network (CNN) 3
2.3 Detailed Description of Each Layer in Convolution Neural Network 3
2.3.1 Convolution Layer 3
2.3.2 Depthwise Separable Convolution Layer 4
2.3.3 Non-Linearity 5
2.3.3 Pooling Layer 5
Ⅲ. Prior work: Dataflow Simulation Engine 6
3.1 Definition of Dataflow 6
3.2 NPU Dataflow Simulators 6
3.3 Nested Loops in Computing DNN Layers 8
3.4 Semantic Representation 9
3.5 Examples of Previous Dataflow Models 11
3.5.1 Weight Stationary Dataflow 11
3.5.2 Row Stationary Dataflow 12
3.6 Open-source Dataflow Simulator 13
Ⅳ. Finding Optimized Dataflow with Evolutionary Algorithm 13
4.1 Evolutionary Algorithm for Searching the Optimized Dataflow 13
4.2 Details on Mutation Operators 15
Ⅴ. Experimental Results 16
Ⅵ. Conclusion 19
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dc.format.extent 23 -
dc.language eng -
dc.publisher DGIST -
dc.subject Dataflow, Evolutionary algorithm, Simulator, 심층 신경망, 진화 알고리즘, 최적화, 데이터 흐름, 성능 시뮬레이션 -
dc.title Evolutionary Search Algorithm for the Optimized Dataflow Engine in Deep Learning -
dc.title.alternative 심층신경망 연산에 최적화된 NPU 구조를 위한 진화 알고리즘 -
dc.type Thesis -
dc.identifier.doi 10.22677/thesis.200000366431 -
dc.description.degree Master -
dc.contributor.department Information and Communication Engineering -
dc.contributor.coadvisor Sungjin Lee -
dc.date.awarded 2021/02 -
dc.publisher.location Daegu -
dc.description.database dCollection -
dc.citation XT.IM 이76 202102 -
dc.contributor.alternativeDepartment 정보통신융합전공 -
dc.embargo.liftdate 2024-02-29 -
dc.contributor.affiliatedAuthor Jooyeon Lee -
dc.contributor.affiliatedAuthor Jaeha Kung -
dc.contributor.affiliatedAuthor Sungjin Lee -
dc.contributor.alternativeName 이주연 -
dc.contributor.alternativeName Jaeha Kung -
dc.contributor.alternativeName 이성진 -
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