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dc.contributor.advisor 김대훈 -
dc.contributor.author Jeongmin Bae -
dc.date.accessioned 2022-07-07T02:29:06Z -
dc.date.available 2022-07-07T02:29:06Z -
dc.date.issued 2021 -
dc.identifier.uri http://dgist.dcollection.net/common/orgView/200000362726 en_US
dc.identifier.uri http://hdl.handle.net/20.500.11750/16667 -
dc.description.statementofresponsibility N -
dc.description.tableofcontents Ⅰ. INTRODUCTION 1
1.1 Background 1
1.2 Review of MRPrimer 3
Ⅱ. IMPLEMENTATION 6
2.1 Overview of GPrimer 6
2.2 Steps 1~3: Building Hash Maps and Processing using CPU threads 6
2.3 Step 4: Building Arrays and General Cross-Hybridization Filtering 8
2.4 Step 5: Pair Filtering and Ranking 16
Ⅲ. RESULTS 20
3.1 Experimental setup and Data sets 20
3.2 Performance Comparison with MRPrimer 21
3.3 Performance of GPrimer varying the number of GPUs 22
3.4 Effectiveness of workload balancing and streaming-copy 24
3.5 Memory usage 26
Ⅳ. CONCLUSIONS 27
Ⅴ. REFERENCES 28
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dc.format.extent 31 -
dc.language eng -
dc.publisher DGIST -
dc.subject Primer design, GPU computation, Sequence analysis, 프라이머 디자인, GPU 연산, 시퀀스 분석 -
dc.title GPrimer: a fast GPU-based pipeline for primer design for qPCR experiments -
dc.title.alternative 프라이머 제한 조건과 특이성 조건을 동시에 만족하는 유효한 모든 프라이머를 GPU를 활용해 빠르게 디자인하는 방법 -
dc.type Thesis -
dc.identifier.doi 10.22677/thesis.200000362726 -
dc.description.degree Master -
dc.contributor.department Information and Communication Engineering -
dc.contributor.coadvisor Min-soo Kim -
dc.date.awarded 2021/02 -
dc.publisher.location Daegu -
dc.description.database dCollection -
dc.citation XT.IM 배74 202102 -
dc.contributor.alternativeDepartment 정보통신융합전공 -
dc.embargo.liftdate 2023-02-28 -
dc.contributor.affiliatedAuthor Jeongmin Bae -
dc.contributor.affiliatedAuthor Daehoon Kim -
dc.contributor.affiliatedAuthor Min-soo Kim -
dc.contributor.alternativeName 배정민 -
dc.contributor.alternativeName Daehoon Kim -
dc.contributor.alternativeName 김민수 -
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