I am a software engineer working for Preferred Networks, Inc., a deep-learning startup company in Tokyo, Japan. My areas are planning, designing, and operating in-house storage clusters of several object storage systems (> 10 PB in logical) from physical (i.e. data center facility management) to logical layers (i.e. performance monitoring/optimization, user supports, system integration with a company-wide ML/DL platform on on-premise Kubernetes).
I am also a doctoral student in Computer Science and a student of High-Performance Computing System (HPCS) laboratory in University of Tsukuba. My research topic is distributed storage systems and system softwares in High-Performance Computing (HPC).
Other Resources
github.com/k5342
www.linkedin.com/in/sugiharak
View my public profile
Computer Skills and Interests
- Distributed Systems, High-Performance Computing (HPC), Parallel File Systems, Distributed Storage
- C, Golang, Java, Ruby, Python
- Linux, Apache Ozone, Apache Hadoop
Work Experiences
- Full-time Engineer, Preferred Networks, Inc., 2021/04 - present
Storage Engineer
Education
- Doctoral Student, Department of Computer Science, University of Tsukuba, 2023/09 - present
Advisor: Prof. Osamu Tatebe
Research Topic: Locality-oriented Node-local Burst Buffer, Adhoc Filesystem - Master of Engineering, Department of Computer Science, University of Tsukuba, 2019/04 - 2021/03
Advisor: Prof. Osamu Tatebe
Research Topic: Parallel I/O Optimizations, Burst Buffer - Bachelor of Information Science, College of Information Science, University of Tsukuba, 2017/04 - 2019/03
Advisor: Prof. Osamu Tatebe
Research Topic: Parallel I/O Optimizations, Burst Buffer - Associate Degree of Engineering, National Institute of Technology, Tokuyama College (KOSEN), 2012/04 - 2017/03
Advisor: Prof. Tsunehiro Yoshinaga
Professional Training
- Part-time Engineer, Preferred Networks, Inc., 2018/11 - 2019/03
- Summer Internship, Preferred Networks, Inc., 2018/08 - 2018/09
Research and development activities on a high-throuput RDMA protocols and distributed cache system for training data in the distributed deep learning using native InfiniBand Verbs. - Summer Internship, Wantedly, Inc., 2017/08 - 2018/09
I worked as an summer internship project with the mobile application team to investigating user retention data collected from the application usages. I’ve spent a days that writing 30+ lines of SQL during the internship. My contribution is providing a new user statistics dashboard on DOMO including some bug fixes in the logging platform written in Rails ans Golang. - Part-time Engineer, Hematite, LLC., 2017/04 - 2020/10
- Part-time Engineer, Stellalink, Inc., 2014/08 - 2017/03
Web system developments in Java, PHP and MySQL.
Publications
Peer-reviewed Conference Papers
- Kohei Sugihara, Osamu Tatebe, “Design of Direct Read from Sparse Segments in MPI-IO”, Proceedings of the 6th IEEE International Conference on Data Science and Systems (DSS), pp.1308-1315, doi: 10.1109/HPCC-SmartCity-DSS50907.2020.00168, 2020. [Acceptance Rate: 14/69 = 20%]
- Kohei Sugihara, Osamu Tatebe, “Design of Locality-aware MPI-IO for Scalable Shared File Write Performance”, Proceedings of the IEEE International Workshop on High-Performance Storage, pp.1080-1089, doi: 10.1109/IPDPSW50202.2020.00179, 2020.
Others
Other Activities
- Security Camp 2013 (as a student in the Web Security class)
- Security Camp 2018 (as a tutor in the Junior Security class)
- ISUCON 7 Finalist (in student quota), 2017
- ISUCON 10 Finalist (in student quota), 2020