홈

This is Joongun Park.

I am a postdoctoral researcher at Georgia Tech. My supervisor is Prof. Tushar Krishna. Also, I earned a Ph.D. at KAIST under the supervision of Prof. Jaehyuk Huh. My research interests lie in computer architecture and security, focusing on expanding the usability and security guarantees of the Trusted Execution Environment. Recently, I have been working on adopting TEE for Non-Volatile Memory and Compute Express Link. Besides security, I am interested in solving problems in system software or hardware architecture.
As a postdoc researcher, I am working on a distributed machine learning simulator, ASTRA-sim. Additionally, I am collaborating with Intel on designing a high-performance HPC system. More specifically, I am writing SST components for simulations.

Email : jpark3234 [at] gatech.edu

Research Papers

Changhai Man*, Joongun Park*, Hanjiang Wu, Huan Xu, Srinivas Sridharan and Tushar Krishna, "Scalable Synthesis of LLM Benchmarks through Symbolic Tensor Graphs", Symposium on Networked Systems Design and Implementation (NSDI) Poster 2025. *Equally Contributed
Hanchen Yang, Zishen Wan, Ritik Raj, Joongun Park, Ziwei Li, Ananda Samajdar, Arijit Raychowdhury and Tushar Krishna, “An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI”, Design Automation Conference (DAC) 2025
Hanjiang Wu, Huan Xu, Joongun Park, Jesmin Jahan Tithi, Fabio Checconi, Jordi Wolfson-Pou, Fabrizio Petrini and Tushar Krishna, "Enhancing Scalability and Performance in Influence Maximization with Optimized Parallel Processing", Workshop on Irregular Applications: Architectures and Algorithms (IA3) 2024, In conjunction with SC24
Taekyung Heo, Seunghyo Kang, Sanghyeon Lee, Soojin Hwang, Joongun Park, and Jaehyuk Huh, "Supporting Trusted Virtual Machines with Hardware-based Secure Remote Memory", International Symposium on Memory Management (ISMM), 2024
Joongun Park, Seunghyo Kang, Sanghyeon Lee, Taehoon Kim, Jongse Park, Youngjin Kwon and Jaehyuk Huh, “Hardware Hardening for Distributed Trusted Sandboxes”, Transactions on Architecture and Code Optimization (TACO), 2023
Joongun Park, Naegyeong Kang, Taehoon Kim, Youngjin Kwon, and Jaehyuk Huh, "Nested Enclave: Supporting Fine-grained Hierarchical Isolation with SGX", International Symposium on Computer Architecure (ISCA) 2020
Taehoon Kim, Joongun Park, Jaewook Woo, Seungheun Jeon, and Jaehyuk Huh, "ShieldStore: Shielded In-memory Key-value Storage with SGX", European Conference on Computer Systems (EuroSys) 2019
Taehoon Kim, Joongun Park, Jaewook Woo, Seungheun Jeon, and Jaehyuk Huh, "Secure In-memory Key-Value Storage with SGX", Symposium on Cloud Computing (SoCC) poster 2018

Projects

Secure CXL protocol for cloud application
- According to the most recent white papers, CXL is not sufficiently prepared for secure inter-device communication
- Currently working on identifying potential performance problems in the setup and alleviating the problems in a simulator
- Leading this ongoing project

Secure disaggregated memory management with FPGA
- Although recent improvement of RDMA-based memory disaggregation systems, their security has not been thoroughly investigated.
- Proposed combined system with trusted hardware-based virtual machine and a new hardware engine for trusted memory disaggregation.
- Participated as the co-author to discuss the idea, security analysis, and write the paper.
- Published in ISMM 2024.

TEE technology for serverless computing
- Serverless applications consist of multiple functions provided by mutually distrustful parties.
- Proposed an extended TEE model which supports trusted serverless applications hardened by hardware.
- Participated as the first author leading the project.
- Published in TACO 2023.

Supporting Multi-level security in TEE
- Monolithic design of intel SGX is hard to represent complex software structure securely.
- Designed and emulate new instructions in SGX SDK/Driver to provide fine-grained hierarchical isolation within TEE
- Participated as the first author leading the project
- Published in ISCA 2020.

Secure key-value storage with Intel SGX
- Limited enclave protected memory significantly slows down in-memory key-value store
- Proposed a secure key-value store that has a hash-based index structure and provides fine-grained data protection
- Participated as the second author to discuss the idea, implement the key-value store, and motivational experiments.
- Published in SoCC 2018 as a poster and published in EuroSys 2019.

Education

Ph.D Candidate in School of Computing at KAIST 2018 - 2023 (Dissertation approved)
M.S. in School of Computing at KAIST 2016 - 2018
B.S. in School of Computing at KAIST 2012 - 2016
Gyeongnam Science High School 2010 - 2012

Experience

Omnious Corp. 2016
- Software developer/Startup early member
- Database architecture, Web crawler
Internship at NHN 2015
- Team leader
- Private cloud with OpenStack, Video encoding acceleration
Internship at Smilegate 2015
- Software developer
- Large scale backend server for online game
Software Maestro membership (Ministry of Science, ICT and Future Planning ) 2014 - 2015
- Software developer
- Mobile Dating App, Video encoding server with Hadoop and FFMPEG

Skill

Language - C / C++ / Python / Script
Simulator - Intel SGX SDK, ZSim, GEM5
System - Linux (Ubuntu), Linux SGX driver, QEMU
Tools - Git, Docker
Other experience (beginner) - Xilinx FPGA, Intel Optane persistent memory

Teaching Experience

Teaching Assistant at KAIST
- System Programming (CS230) 2018 Fall, 2020 Fall
  - Practice: Bit-wise operation, GDB, Assembly, and Proxy server
- Operating System (CS330) 2016 Spring, 2019 Spring
  - Practice: Interrupt, Scheduling
- Computer Organization (CS300) 2019 Fall, 2020 Spring
  - Practice: MIPS simulator
- Embedded Computing (SEP 561) 2020 Spring
  - Soft processor using Altera’s tool

Teaching at North Chungcheongk Province Office of Education
- Basic programming algorithm Nov 2014 - Feb 2015

Honors and Awards

Presidential Science Scholarship 2012 - 2016
ACM - ICPC ( NHN special prize ) 2013
Dean's List in School of Computing at KAIST 2014, Spring
Magna Cum Laude at KAIST 2016