Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 김대훈 | - |
| dc.contributor.author | Donghyoung Han | - |
| dc.date.accessioned | 2022-07-07T02:29:15Z | - |
| dc.date.available | 2022-07-07T02:29:15Z | - |
| dc.date.issued | 2021 | - |
| dc.identifier.uri | http://dgist.dcollection.net/common/orgView/200000364466 | en_US |
| dc.identifier.uri | http://hdl.handle.net/20.500.11750/16698 | - |
| dc.description.statementofresponsibility | N | - |
| dc.description.tableofcontents | Chapter 1. Introduction 1 1.1 Motivation and objectives 1 1.2 Main contributions 8 1.3 Structure of thesis 9 Chapter 2. Background 11 2.1 Matrix Computation Engine 11 2.1.1 Matrix Partitioning Schemes 11 2.1.2 Distributed Matrix Multiplication Methods 12 2.1.3 Operator Fusion 17 2.1.4 Distributed Fused Operator 23 Chapter 3. DistME: Elastic Distributed Matrix Multiplication 28 3.1 Cuboid Matrix Multiplication 28 3.1.1 (P |
- |
| dc.description.tableofcontents | Q | - |
| dc.description.tableofcontents | R)-Cuboid partitioning 28 3.1.2 Optimization of CuboidMM 31 3.2 Acceleration of CuboidMM using GPUs 33 3.2.1 Subcuboid partitioning 33 3.2.2 Optimization of subcuboids for GPU 35 3.2.3 GPU streaming of subcuboids 36 3.2.4 Algorithm 38 3.3 Experimental Evaluation 38 3.3.1 Experimental setup 40 3.3.2 Performance of CuboidMM 41 3.3.3 Performance of DistME 44 3.3.4 Performance of GNMF 47 3.3.5 Comparison with Systems in HPC 48 Chapter 4. FuseME: Operation Fusion Method 51 4.1 Cuboid-based fused Operator 51 4.1.1 Cuboid-based Fusion 51 4.1.2 Cost Optimization 59 4.2 Cuboid-based Fusion Generation 66 4.2.1 Fusion Plan 66 4.2.2 Union and Cut of Fusion plan 71 4.3 Experimental Evaluation 73 4.3.1 Experimental setup 74 4.3.2 Performance of Cuboid-based fusion 75 4.3.3 Optimization of Cuboid-based fusion 78 4.3.4 Performance Depending on Fusion plan . 80 Chapter 5. Related Work 82 5.1 Related Work 82 Chapter 6. Conclusion 84 6.1 Conclusions 84 Bibliography 86 |
- |
| dc.format.extent | 94 | - |
| dc.language | eng | - |
| dc.publisher | DGIST | - |
| dc.subject | Matrix computation, large-scale matrix multiplication, GPU processing, and operation fusion, 분산 행렬 계산, 대규모 행렬 곱셈, GPU 가속화 및 연산 융합 | - |
| dc.title | A Fast and Elastic Distributed Matrix Computation Engine using GPUs | - |
| dc.title.alternative | 그래픽 처리 장치를 사용하는 빠르고 탄력적인 분산 행렬 계산 엔진 | - |
| dc.type | Thesis | - |
| dc.identifier.doi | 10.22677/thesis.200000364466 | - |
| dc.description.degree | Doctor | - |
| dc.contributor.department | Information and Communication Engineering | - |
| dc.contributor.coadvisor | Kyongseok Park | - |
| dc.date.awarded | 2021/02 | - |
| dc.publisher.location | Daegu | - |
| dc.description.database | dCollection | - |
| dc.citation | XT.IM 김56 202102 | - |
| dc.contributor.alternativeDepartment | 정보통신융합전공 | - |
| dc.embargo.liftdate | 2024-02-28 | - |
| dc.contributor.affiliatedAuthor | Donghyoung Han | - |
| dc.contributor.affiliatedAuthor | Daehoon Kim | - |
| dc.contributor.affiliatedAuthor | Kyongseok Park | - |
| dc.contributor.alternativeName | 한동형 | - |
| dc.contributor.alternativeName | Daehoon Kim | - |
| dc.contributor.alternativeName | 박경석 | - |
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