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

4 Awards

  • KISM 2023 Best Paper Award
  • 삼성전자 산학협력 최우수 논문상 2023
  • KCC 2019 Invited Paper 발표자 선정
  • KSC 2017 데모/구현 세션 우수상

Publications

18 International Conference Papers

  • Jeong-Min Park, Myung-Hwan Jang, Duck-Ho Bae, and Sang-Wook Kim, “RealGraph GPU++ : A GPU-Based Graph Engine with Direct Storage-to-DM IO”, KISM 2024, Busan, 2024.11.11 – 2024.11.15. (poster)
  • Jeong-Min Park, Myung-Hwan Jang, and Sang-Wook Kim, “RealGraphGPUWeb: A Convenient and Efficient GPU-Based Graph Analysis Platform on the Web”, In Proceedings of ACM Web Conference 2024 (ACM WWW 2024), pp. 1011-1014, Singapore, May 13-17, 2024. (demo).
  • Jeong-Min Park, Myung-Hwan Jang, Duck-Ho Bae, and Sang-Wook Kim, “RealGraphGPU++: A High-Performance GPU-Based Graph Engine with Direct Storage-to-DM IO”, In Proceedings of ACM Web Conference 2024 (ACM WWW 2024), pp. 654-657, Singapore, May 13-17, 2024 (short paper).
  • Jeong-Min Park, Myung-Hwan Jang, and Sang-Wook Kim, “IO Optimization Strategies for a GPU-Based Graph Engine with HighPerformance Storage”, KISM 2023, Busan, Korea, Nov. 19-23, 2023 (presentation only).
  • Ikhyeon Jo, Myung-Hwan Jang, and Sang-Wook Kim, “SIMD Optimization for Improving the Performance of a CPU-Based Graph Engine”, In Proc. of Korean International Semiconductor Conference on Manufacturing Technology (KISM 2023), Busan, Korea, Nov. 19-23, 2023 (presentation only).
  • Myung-Hwan Jang*, Yunyong Ko*, Hyuck-Moo Gwon, Ikhyeon Jo, Yongjun Park, and Sang-Wook Kim, “SAGE: A Storage-Based Approach for Scalable and Efficient Sparse Generalized Matrix-Matrix Multiplication,” In Proc. of the 32nd ACM International Conference on Information and Knowledge Management (ACM CIKM 2023), pp., University of Birmingham and Eastside Rooms, UK, Oct. 21-25, 2023 (full paper).
  • 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. 276-279, Texas, USA, April 30 – May 4, 2023 (short paper).
  • 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. 2456-2469, Anaheim, California, USA, April 3-7, 2023 (full paper).
  • 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), Busan, Korea, November 13-16, 2022 (presentation only).
  • 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.

11 Domestic Conference Papers

  • 조익현, 장명환, 김상욱, “NVMe-oF를 이용한 Single-Machine-Based 그래프 엔진의 성능 측정”, ASK 2024, pp. , 2024년 5월 23일 – 5월 25일
  • 박정민, 장명환, 김상욱 “고성능 스토리지를 갖는 GPU기반 그래프 분석 엔진을 위한 I/O 최적화 전략”, ASK 2023, pp.386-388 , 서울대학교, 2023년 5월 18일 – 5월 20일
  • 조익현, 장명환, 김상욱 “SIMD 최적화를 이용한 CPU 기반 그래프 엔진의 성능 개선”, ASK 2023, pp.383-385 , 서울대학교, 2023년 5월 18일 – 5월 20일
  • 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.

3 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
  • 조익현, 김상욱, 장명환, 고윤용, 단일 머신에서 외부 스토리지를 이용한 효율적인 대용량 희소 행렬 간 곱셈 방법, 출원번호: 10-2024-0000756