🧑‍🔬 Simon Guo

🏛️ Affiliations

🎓University of California, IrvineIrvine · United States2025–2026 · 2 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. KernelBench: Can LLMs Write Efficient GPU Kernels? (2025 · 178 citations)
   Hand-writing fast GPU kernels takes deep expertise and a lot of time. New ML architectures and new accelerators often wait years for well-tuned implementations; FlashAttention is a well-known example. The authors ask whether language models can take over this work.
2. Kevin: Multi-Turn RL for Generating CUDA Kernels (2025 · 69 citations)
   The paper asks whether reinforcement learning can teach an LLM to write fast, correct CUDA kernels, given that kernel writing is iterative: engineers revise code after seeing compile errors, test results and timings.

🤝 Co-authors here

4 co-authors with a page, the most papers together first.

• Azalia Mirhoseini
• Christopher Ré
• Silas Alberti
• Simran Arora

🔗 Cited by

Papers of our library cite their works 244 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

Updated 2 November 2026

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