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GPrimer: a fast GPU-based pipeline for primer design for qPCR experiments

Title
GPrimer: a fast GPU-based pipeline for primer design for qPCR experiments
Alternative Title
프라이머 제한 조건과 특이성 조건을 동시에 만족하는 유효한 모든 프라이머를 GPU를 활용해 빠르게 디자인하는 방법
Author(s)
Jeongmin Bae
DGIST Authors
Jeongmin BaeDaehoon KimMin-soo Kim
Advisor
김대훈
Co-Advisor(s)
Min-soo Kim
Issued Date
2021
Awarded Date
2021/02
Type
Thesis
Subject
Primer design, GPU computation, Sequence analysis, 프라이머 디자인, GPU 연산, 시퀀스 분석
Table Of Contents
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
URI
http://dgist.dcollection.net/common/orgView/200000362726

http://hdl.handle.net/20.500.11750/16667
DOI
10.22677/thesis.200000362726
Degree
Master
Department
Information and Communication Engineering
Publisher
DGIST
Related Researcher
  • 김대훈 Kim, Daehoon
  • Research Interests Computer Architecture and Systems; Virtualization; Cloud Computing
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Department of Electrical Engineering and Computer Science Theses Master

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