Simon Guo

Publications

* indicates Equal Contribution


DSL-Monkeys: Self-Generated In-Context Examples for Low-Resource GPU DSL Kernels

Nathan Paek*, Simon Guo*, Vishnu Sarukkai*, Willy Chan*, William Hu, Ethan Boneh, Simran Arora, Ludwig Schmidt, Kayvon Fatahalian, Azalia Mirhoseini

To Appear at TTU & DATA-FM Workshop @ ICLR 2026

Kevin: Multi-Turn RL for Generating CUDA Kernels

Carlo Baronio*, Pietro Marsella*, Ben Pan*, Simon Guo, Silas Alberti

ICLR 2026, EXAIT & ES-FoMo-III Workshop at ICML 2025

Think, Prune, Train, Improve: Scaling Reasoning without Scaling Models

Caia Costello, Simon Guo, Anna Goldie, Azalia Mirhoseini

LAD 2025, SSI-FM Workshop at ICLR 2025

KernelBench: Can LLMs Write Efficient GPU Kernels?

Anne Ouyang*, Simon Guo*, Simran Arora, Alex L. Zhang, William Hu, Christopher Ré, Azalia Mirhoseini
* indicates equal contribution

ICML 2025, DL4C (Best Paper) & SSI-FM Workshop at ICLR 2025

BAM! Just Like that, Simple and Efficient Parameter Upcycling for Mixture of Experts

Qizhen Zhang, Nikolas Gritsch, Dwaraknath Gnaneshwar, Simon Guo, David Cairuz, Bharat Venkitesh, Jakob Foerster, Phil Blunsom, Sebastian Ruder, Ahmet Üstün, Acyr Locatelli

NeurIPS 2024, NGSM (Spotlight) & ES-FoMo-II Workshop at ICML 2024

Parallelism in Bundle Adjustment for SLAM

Simon Zirui Guo, Yakun Sophia Shao

ACM SRC at MICRO 2022

Gemmini: An Open-Source, Full-System DNN Accelerator Design and Evaluation Platform

Hasan Genc, Seah Kim, Vadim Vadimovich Nikiforov, Simon Zirui Guo, Borivoje Nikolić, Krste Asanović, Yakun Sophia Shao

OSCAR workshop at ISCA 2022

D3: A Dynamic Deadline-Driven Approach for Building Autonomous Vehicles

Ionel Gog, Sukrit Kalra, Peter Schafhalter‡, Joseph E. Gonzalez, Ion Stoica
‡ worked as undergraduate research assistant for author

EuroSys 2022

Talks

  • Guest lectures on AI and Software / Performance Engineering: Stanford CS 329A, CS 343D; Amazon Annapurna Labs; Greylock Systems Reading Group.
  • How to Build Agents to Generate Kernels for Faster LLMs (and Other Models!); Tutorial @ NeurIPS 2025
  • KernelBench; Best Paper Talk at DL4C: Deep Learning For Code @ ICLR 2025.
  • Project Popcorn; Talk at GPU MODE @ NVIDIA GTC 2025.
  • GPU kernel generation; Talk at HAC: The Hacker-Cup AI Competition @ NeurIPS 2024.
  • Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration. Tutorial at MLSys 2022 and IISWC 2021.

Service

  • NeurIPS 2025 (Top Reviewer)
  • PhD Admissions Student Committee, Stanford CS

Awards

  • UC Berkeley EECS Arthur M. Hopkin Award (2021-2022) - outstanding Electrical Engineering undergraduate
  • Apple-UC Berkeley New Silicon Initiative Class Award (2022) - for CS 152 Computer Architecture and Engineering
  • Apple-UC Berkeley New Silicon Initiative Class Design Contest Award (2021) - for CPU design project in EECS 151 Digital Design & Integrated Circuit
  • Tau Beta Pi (TBP) National Engineering Honor Society - CA-A Chapter
  • IEEE-Eta Kappa Nu (HKN) National Electrical Engineering Honor Society - Mu Chapter Officer
  • UC Berkeley Regents’ and Chancellor’s Scholarship (2019)
  • Consumer Electronics Show (2019) Innovation Award in Fitness, Sports, and Biotech - with the Interaxon Team for our work on Muse 2
  • Second Place Overall at Product Hunt Global Hackathon 2017 - out of 8000+ submissions for our work on Sweetbud
  • Winner at Hack the North 2017 - out of 250+ teams at Canada's largest hackathon
  • Second Place at SXSW Student Startup Madness 2018 - out of 64 college startups
  • Third Place Overall at TechCrunch Shenzhen Hackathon 2017

Special thanks to

Deeply grateful to the following individuals for their kindness, mentorship, and guidance throughout my journey.

Mentoring

I am lucky to have worked with amazing master and undergrad students on various projects: William Hu, Caia Costello, Carlo Baronio, Pietro Marsella, Ben Pan, Nathan Paek.