Gina Sohn

ginasohn@stanford.edu

I am an Electrical Engineering PhD student at Stanford University advised by Professor Kunle Olukotun. My area of interest lies in computer architecture, compilers, and programming models. Recently, I am working on designing compilers and architectures for dataflow accelerators.

I received my B.S. from Seoul National University, where I was fortunate enough to be advised by Professor Jae W. Lee and Jung Ho Ahn on designing hardware accelerators for domains such as Large Language Model training and Fully Homomorphic Encryption.

Education

Stanford University

Ph.D.
Electrical Engineering
Sep. 2022 – Present

Seoul National University

Bachelor of Science
Computer Science and Engineering

Total GPA: 4.16 / 4.3 (Summa Cum Laude)

Mar. 2018 – Aug. 2022

Publications

  • Streaming Tensor Programs: A Streaming Abstraction for Dynamic Parallelism

    Gina Sohn, Genghan Zhang, Konstantin Hossfeld, Jungwoo Kim, Nathan Sobotka, Nathan Zhang, Olivia Hsu, Kunle Olukotun

    ASPLOS, 2026
    Paper


  • The Dataflow Abstract Machine Simulator Framework

    Nathan Zhang, Rubens Lacouture, Gina Sohn, Paul Mure, Qizheng Zhang, Fredrik Kjolstad, Kunle Olukotun

    ISCA, 2024 Distinguished Artifact Award
    Paper


  • ARK: Fully Homomorphic Encryption Accelerator with Runtime Data Generation and Inter-Operation Key Reuse

    Jongmin Kim, Gwangho Lee, Sangpyo Kim, Gina Sohn, John Kim, Minsoo Rhu, Jung Ho Ahn

    MICRO, 2022
    Paper


  • Behemoth: A Flash-centric Training Accelerator for Extreme-scale DNNs

    Shine Kim, Yunho Jin, Gina Sohn, Jonghyun Bae, Tae Jun Ham, Jae W. Lee.

    FAST, 2021
    Paper
    Slides

Research Experience

Pervasive Parallelism Laboratory

Stanford University

Advisor: Kunle Olukotun

Apr. 2023 – Present

Stanford Accelerate Laboratory

Stanford University

Advisor: Priyanka Raina

Jan. 2023 – Mar. 2023

SCALable Computer Architecture Laboratory

Graduate School of Convergence Science and Technology, Seoul National University

Advisor: Jung Ho Ahn

Jan. 2022 – Apr. 2022

Architecture and Code Optimization Laboratory

Samsung-SNU Cooperation R&D Center, Seoul National University

Advisor: Jae W. Lee

Jul. 2020 – Sep. 2020

Scholarships

Graduate Research Fellowship Program (NSF GRFP)

National Science Foundation
2025-2028

Stanford Graduate Fellowship (SGF)

Stanford University
2022-2025

National Scholarship For Science and Engineering

Korea Student Aid Foundation
2020-2021

Eminence Scholarship

Seoul National University
2019

Teaching

Digital Systems Design Lab

Stanford University

Teaching Assistant

  • Topics covered: Software / hardware design tradeoffs, Algorithm design for pipelining and parallelism, System latency and throughput tradeoffs, FPGA optimization techniques.

Apr. 2024 - Jun. 2024

Computer Programming (M1522.000600)

Seoul National University

Teaching Assistant

  • Covered C++ and Java programming, Object Oriented Programming

  • Revised lab materials and assignment descriptions, Administered laboratories for 170 students every week, Answered questions online

Sep. 2021 - Dec. 2021