I am a Ph.D. student in Computer Science at the Georgia Tech, who is being advised by Prof. Hyesoon Kim. My research interests include computer architecture and hardware security, with focus on low-overhead yet robust defense against memory safety vulnerabilities.
Ph.D. in Computer Science, 2018-present
Georgia Institute of Technology
BSc. in Semiconductor Systems Engineering, 2010-2016
Sungkyunkwan University
Hardware-based Always-On Heap Memory Safety, Yonghae Kim, Jaekyu Lee, Hyesoon Kim, IEEE/ACM International Symposium on Microarchitecture (MICRO), Athens, Greece (2020)
A Case Study: Exploiting Neural Machine Translation to Translate CUDA to OpenCL, Yonghae Kim, Hyesoon Kim, arXiv preprint arXiv:1905.07653 (2019)
Translating CUDA to OpenCL for Hardware Generation using Neural Machine Translation, ACM CGO Student Research Competition (SRC), Yonghae Kim, Hyesoon Kim, Washington, D.C., USA (2019)
A Case Study: Exploiting Neural Machine Translation to Translate CUDA to OpenCL, Yonghae Kim, Hyesoon Kim, 2nd International Workshop on AI-assisted Design for Architecture (AIDArc), co-located with International Symposium on Computer Architecture (ISCA), Phoenix, AZ (2019)
High Speed and Power Efficient Hierarchical SEC-DAEC-DEC code for Reliable Memory (poster), Design Automation Conference (DAC), Yonghae Kim, Joon-sung Yang, Austin, TX, USA (2017)
Power Efficient Hierarchical SEC-DAEC-DEC code for Reliable Memory (poster), Design Automation Conference (DAC), Yonghae Kim, Joon-sung Yang, Austin, TX, USA (2016)