Myung-Hwan Jang

Ph. D. Candidate, Computer Science Department, Hanyang University, Seoul, Korea

Contact

Email

Research Interests

  • Social Network Analysis
  • Data Mining
  • Graph Database Engines

Awards

  • KCC 2019 Invited Paper 발표자 선정
  • KSC 2017 데모/구현 세션 우수상

Publications

12 International Conference Papers

  • Myung-Hwan Jang, Jeong-Min Park, Ikhyeon Jo, Duck-Ho Bae, and Sang-Wook Kim, “RealGraph+: A High-Performance Single-Machine-Based Graph Engine that Utilizes IO Bandwidth Effectively”, In Proceedings of the ACM Web Conference 2023 (ACM WWW 2023), pp., Texas, USA, April 30 – May 4, 2023 (short paper). (accepted to appear)
  • Taehyeong Park, Seokwon Kang, Myung-Hwan Jang, Sang-Wook Kim, and Yongjun Park, “Orchestrating Large-Scale SpGEMMs using Dynamic Block Distribution and Data Transfer Minimization on Heterogeneous Systems,” In Proc. of the 39th IEEE Int’l. Conf. on Data Engineering (IEEE ICDE 2023), pp., Anaheim, California, USA, April 3-7, 2023 (full paper). (accepted to appear)
  • Myung-Hwan Jang, Yunyong Ko, Dongkyu Jeong, Jeong-Min Park, and Sang-Wook Kim, “A GPU-Based Graph Engine for Large-Scale Network Analysis”, In Proc. of Korean International Semiconductor Conference on Manufacturing Technology (KISM 2022), pp., Busan, Korea, November 13-16, 2022 (unpublished) (short paper).
  • Myung-Hwan Jang, Yunyong Ko, Dongkyu Jeong, Jeong-Min Park, and Sang-Wook Kim, “RealGraph-GPU: A High-Performance GPU-Based Graph Engine toward Large-Scale Real-World Network Analysis”, In Proc. of the 31st ACM Int’l. Conf. on Information and Knowledge Management (ACM CIKM 2022), pp.4074–4078, Atlanta, GA, USA, Oct. 17-21, 2022 (short paper).
  • Myung-Hwan Jang, Yong-Yeon Jo and Sang-Wook Kim, “RealGraph-Web: A Graph Analysis Platform on the Web”, In Proc. of the 47th International Conference on Very Large Data Bases (VLDB 2021) Demonstration Track, pp. 2775-2778, Copenhagen, Denmark, August 16-20, 2021 (short paper).
  • Yong-Yeon Jo, Myung-Hwan Jang, Sang-Wook Kim, and Sunju Park, “RealGraph: A Graph Engine Leveraging the Power-Law Distribution of Real-World Graphs”, In Proc. of the 28th The Web Conference (ACM WWW 2019), pp. 807-817, San Francisco, CA, USA, May 13-17, 2019 (full paper).
  • Myung-Hwan Jang, Yong-Yeon Jo and Sang-Wook Kim, “Graph-Based Recommendation on Single-Machine Based Graph Engines: A Performance Study”, In Proc. of the Int’l. Conf. on Fuzzy Theory and Its Applications (iFUZZY 2018), pp. 173-175, Daegu, Korea, Nov. 14-17, 2018 (short paper).
  • Yong-Yeon Jo, Myung-Hwan Jang, Hyungsoo Jung and Sang-Wook Kim, “A High-Performance Graph Engine for Efficient Social Network Analysis”, In Proc. of the 27th Int’l World Wide Web Conference (ACM WWW 2018), pp. 61-62, Lyon, France, Apr. 23-27, 2018 (short paper).
  • Yong-Yeon Jo, Kyuhwan Lee, Myung-Hwan Jang, Sang-Wook Kim, and Eunjee Song, “Efficient Processing of Large-Scale Sparse Matrix-Matrix Multiplications on a Single Machine”, In Proc. of IEEE Int‘l Conf. on Systems, Man, and Cybernetics (IEEE SMC 2017), pp. 1908-1913, Banff, Canada, Oct. 5-8, 2017 (full paper).
  • Yong-Yeon Jo, Myung-Hwan Jang and Sang-Wook Kim, “Efficient Processing of Alternating Least Squares on a Single Machine”, In Proceeding of 7th Int’l Conf. on Emerging Database (EDB 2017), pp. 1-10, Busan, Korea, Aug. 7-9, 2017 (full paper).
  • Yong-Yeon Jo, Myung-Hwan Jang and Sang-Wook Kim, “Efficient Processing of Alternating Least Squares on a Single Machine”, In Proceeding of 7th Int’l Conf. on Emerging Database (EDB 2017), pp. 1-10, Busan, Korea, Aug. 7-9, 2017 (full paper).
  • Yong-Yeon Jo, Jiwon Hong, Myung-Hwan Jang, Jae-Geun Bang and Sang-Wook Kim, “Data Locality in Graph Engines: Implications and Preliminary Experimental Results,” In Proc. Int’l Conf. on Information and Knowledge Management, (ACM CIKM 2016), pp. 1885-1888, Indianapolis, USA, Oct. 24 – 28, 2016 (short paper).

2 International Journal Papers

  • Yong-Yeon Jo, Myung-Hwan Jang, Sunju Park, Sang-Wook Kim, “A Data Layout with Good Data Locality for Single-Machine based Graph Engines”, IEEE Transactions on Computers, Vol. 71, No. 8, pp. 1784-1793, Aug. 01. 2022.
  • Yong-Yeon Jo, Myung-Hwan Jang, Sang-Wook Kim, and Kyungsik Han, “Efficient processing of recommendation algorithms on a single-machine based graph engine”, Journal of Supercomputing, Vol. 76, pp. 7985-8002, Oct. 2020.

8 Domestic Conference Papers

  • 권혁무, 장명환, 김상욱, 박영준, “희소 행렬 간 곱셈에서 중간 결과 합산 방식들의 성능 분석,” KSC 2019, pp. 123-124, 평창 휘닉스파크, 2019년 12월 18-20일.
  • 정동규, 장명환, 김상욱, “GPU 기반의 그래프 엔진에서 메모리 할당 전략에 따른 성능 분석”, KSC 2019, pp. 120-122, 평창 휘닉스파크, 2019년 12월 18-20일.
  • 정동규, 장명환, 김상욱, “싱글 머신에서 CPU 기반 및 GPU 기반 그래프 엔진의 성능 평가”, KSC 2018, pp. 230-231, 평창 휘닉스파크, 2018년 12월 19-21일.
  • 권혁무, 장명환, 김상욱, 박영준, “싱글 머신 기반 대용량 희소 행렬 간 곱셈 방법들의 구현 및 성능 분석”, KSC 2018, pp. 154-156, 평창 휘닉스파크, 2018년 12월 19-21일.
  • 장명환, 조용연, 김상욱, “싱글 머신 기반 대용량 그래프 처리 엔진의 성능 분석”, KSC 2018, pp. 227-229, 평창 휘닉스파크, 2018년 12월 19-21일.
  • 장명환, 조용연, 김상욱, “그래프 기반 추천 알고리즘의 효율적인 수행 (Efficient Processing of Graph-based Recommendation Algorithms)”, 한국지능시스템학회 춘계학술대회 (KIIS 2018), pp. 149-150, 서울 더케이호텔, 2018년 4월 19-21일.
  • 조용연, 장명환, 김상욱, “실 세계 빅 그래프의 특징을 고려한 싱글 머신 기반 그래프 엔진”, 2017 한국컴퓨터종합학술대회 (KCC 2017), pp. 1612, 라마다 프라자 제주호텔, 2017년 6월 18-20일.
  • 장명환, 조용연, 김상욱, “GraphChi기반의 두 희소 행렬 곱셈,” 2015 한국컴퓨터종합학술대회 (KCC 2015), pp. 295-296, 2015년 6월 24-26일.

2 Domestic Patents

  • 김상욱, 조용연, 이규환, 장명환, 단일 머신 기반의 대용량 희소행렬 곱셈을 위한 메모리 할당 장치 및 방법, 출원번호: 10-2016-0090956
  • 김상욱, 조용연, 장명환, 복수의 쓰레드를 이용하는 그래프 엔진 및 그 그래프 엔진의 동작 방법, 출원번호: 10-2017-0169555