Min-Soo Kim - Talks
Big Data Systems
- 빅데이터 플랫폼 기술의 도전과 기회 (특강)
DGIST 이노베이션경영프로그램 MOI 세미나, Daegu, Korea, 2016.10.13.
- A Fast and Scalable Graph Processing Method based on Streaming Topology to GPUs (invited)
NVIDIA GTCx Korea 2016, Seoul, 2016.10.7.
- GPU 기반의 빅그래프 처리 기술 및 초고성능 컴퓨팅 기술 세미나(invited)
한국전자통신연구원(ETRI), Daejeon, 2016.7.27.
- GTS: A Fast and Scalable Graph Processing Method based Streaming Topology to GPUs
미래부, 고성능 빅데이터 선도기술 심포지움, Seoul, 2016.4.28-29.
- Big Data Platforms: Challenges and Opportunities (invited)
한국정보과학회 데이터베이스 소사이어티 제1회 빅데이터 겨울학교, Seoul, 2016.2.16.
- Challenges and Opportunities of Big Data Platforms (invited)
Korea Supercomputing Conference(KSC) 2015, Seoul, 2015.10.7.
- Fast Processing of Big Graph Data using Modern Hardware (invited)
2015 Winter Workshop, SigCS(시스템연구회), KIISE(한국정보과학회), Yongpyung, 2015.2.2.
- A Graph Processing Method for Large-scale Graphs on Modern Hardware (invited)
2014 Fall Colloquium, Department of Computer Science and Engineering, Hanyang, 2014.11.18.
- Fast Big Data Analysis with Heterogeneous Many-core Computing (invited)
2013 Fall Colloquium, Department of Computer Science and Engineering, POSTECH, 2013.11.6.
- 빠른 빅 데이터 분석을 위한 맵리듀스 엔진 기술 (invited)
빅 데이터 처리 기술 워크샵, 대한전자공학회, 2013.10.18.
- MapReduce Framework for a Single Computer with Multi-core CPUs and Many-core GPUs (invited)
The 5th International Conference on Emerging Databases-Technologies,Applications, and Theory (EDB 2013), KIISE(한국정보과학회), Jeju, Korea, 2013.8.19~21.
- 빠른 빅 데이터 분석을 위한 최신 맵리듀스 엔진 기술 (tutorial)
Korea Computer Congress 2013 (KCC 2013), KIISE(한국정보과학회), Yeosu, Korea, 2013.6.26 28.
- Big Data Analysis using Hadoop on Modern Computer Hardware
DBSW 2013, KIISE(한국정보과학회), Jeju, Korea, 2013.2.18~2.20.
- Big Data Analysis on HPC and Multicore Hashing
KJDB 2012, Daejeon, Korea, 2012.11.30 12.2.
- Big Data Analysis on HPC (invited)
Hyperworks Technology Conference 2012, 반포 JW 메리어트 호텔, 2012.9.13.
- Big Data Analysis on HPC (invited)
HP-CAST Korea 2012, 삼성동 그랜드인터컨티넨탈호텔, 2012.5.17.
- Fast Constant-Time Query Processing using New H/W Features (invited)
2012 Spring Colloquium, Department of Computer Science and Engineering, POSTECH, 2011.5.25.
- Software Technologies Ranging from Enterprise to Embedded Systems (invited)
The 6th International Symposium on Embedded Technology, Jeju, Korea, 2011.5.21.
- 데이터베이스 시스템의 기술적 현황과 앞으로의 전망 (invited)
School of Computer Science and Electrical Engineering, Handong University, 2011.4.27.
- Fast Constant-Time Query Processing for Large-Scale Data
2012 Series of Convergence Seminar, DGIST, 2011.4.13.
- Constant-Time Query Processing of IBM Smart Analytics Optimizer (invited)
School of Computer Science and Engineering, Kyungpook National University, 2011.3.23.
Genomics & Proteomics
- 대규모 바이오/의료 데이터를 위한 빅데이터 처리 기술(초청강연)
한국과학기술정보연구원(KISTI), Daejeon, Korea, 2017.02.06.
- 바이오/의료 데이터 기반의 빅데이터 및 인공지능 기술(초청강연)
서울대학교병원, Seoul, Korea, 2016.11.2.
- Big data technology for designing high-quality oligonucleotides via exhaustive homology tests (invited)
The 25th KOGO Annual Conference 2016, Seoul, Korea, Sept. 5-6, 2016.
- Big data technology for designing high-quality oligonucleotides via exhaustive homology tests (invited)
Intelligent Systems for Molecular Biology (ISMB), Orlando, FL, USA, July 8 - July 12, 2016.
- MRPrimer: A MapReduce-based method for the thorough and rapid design of high-quality primers for qPCR genetic testing (invited)
2016 대한전자공학회 하계종합학술대회 튜토리얼, Jeju, Korea, 2016.6.24.
- A Distributed Data Management System of Preserving Data Locality based on User Profiles (invited)
한국정보과학회 데이터베이스 소사이어티 의료 빅데이타 분석 서비스 워크샵, Jeju, Korea, 2016.2.29.
- A Genome-Scale Algorithm in the NGS Era
DBSW 2014, KIISE(한국정보과학회), Jeju, Korea, 2014.4.28~30.
Deep Learning / AI
- 슈퍼컴퓨터 활용사례를 통한 인공지능 기술동향 소개 (invited)
DIP IT Forum, DIP, Daegu, Korea, 2016.04.20.
- Robot Avatar controlled by using brain signal(뇌로 움직이는 또다른 나, 아바타) (invited)
DGIST, World Brain Awareness Week, 2013.3.14.
|