About me
I am Heejin Park, a Ph.D. candidate at Purdue University, working in XSEL advised by Prof. Felix Xiaozhu Lin. My research interests lie primarily in system software including Operating Systems. Particularly, I am focusing on building systems for trustworthy yet fast on-device computation in the mobile/edge environments, such as stream analytics and ML inference.
I am on job market. If you are interested, feel free to contact me. CV
Education
- Doctoral Student in Electrical and Computer Engineering
Purdue University, West Lafayette, Indiana, United States (2016 - ) - M.S. in Computer Science
University of Seoul, Seoul, South Korea (2013 - 2015) - B.S in Computer Science and Engineering
University of Seoul, Seoul, South Korea (2008- 2013)
Publications
- Safe and Practical GPU Acceleration in TrustZone
Heejin Park, and Felix Xiaozhu Lin
preprint. arXiv:2111.03065, Nov, 2021 [Paper] - TinyStack: A Minimal GPU Stack for Client ML
Heejin Park, and Felix Xiaozhu Lin
will appear in ASPLOS, Mar. 2022 [Paper (tentative)] - StreamBox-TZ: Secure Stream Analytics at the Edge with TrustZone
Heejin Park, Shuang Zhai, Long Lu, and Felix Xiaozhu Lin
in Proc. USENIX ATC, Jul. 2019 [Paper] [Slides] - StreamBox: Modern Stream Processing on a Multicore Machine
Hongyu Miao, Heejin Park, Myeongjae Jeon, Gennady Pekhimenko, Kathryn S. McKinley, and Felix Xiaozhu Lin
in Proc. USENIX ATC, Jul. 2017 [Paper] [Slides] - Incremental Redundancy to Reduce Data Retention Errors in Flash-based SSDs
Heejin Park, Jaeho Kim, Jongmoo Choi, Donghee Lee, and Sam H. Noh
in Proc. IEEE MSST, May. 2015 [Paper] [Slides]
Poster Presentations
- Analysis of Incremental Redundancy for Data Retention Error of SSDs
Heejin Park, Jaeho Kim, and Donghee Lee
at USENIX OSDI, Oct. 2014