---
title: "Simon Guo — author profile and papers — Elamur Research"
description: "Simon Guo, University of California, Irvine: 2 papers on Elamur Research (2025), h-index 2 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/simon-guo/"
---
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# Simon Guo

Simon Guo has 2 papers in our library, in 2025, most of them on [GPU & parallel computing](https://md.research.elamur.ai/free/en/topics/gpu-parallel-computing/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Azalia Mirhoseini](https://md.research.elamur.ai/free/en/authors/azalia-mirhoseini/), [Christopher Ré](https://md.research.elamur.ai/free/en/authors/christopher-re/), [Silas Alberti](https://md.research.elamur.ai/free/en/authors/silas-alberti/).

2 papers in our library · 2025

[OpenAlex](https://openalex.org/A5046283568) · [ORCID](https://orcid.org/0009-0009-2651-3238) · [**h-index 2**](https://openalex.org/authors/A5046283568) · [11 works](https://openalex.org/works?filter=author.id:A5046283568) · [34 citations](https://openalex.org/works?filter=author.id:A5046283568&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/simon-guo/#papers) · [🔗 Cited 244 times in our library](https://md.research.elamur.ai/free/en/authors/simon-guo/cited-by/) · [⭐ Paper Stars ranking: #5989](https://md.research.elamur.ai/free/en/paper-stars/page/60/#star-5989)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Simon+Guo) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Simon+Guo) · [dblp](https://dblp.org/search?q=Simon+Guo) · [ACL Anthology](https://aclanthology.org/search/?q=Simon+Guo)

## Affiliations

[🎓**University of California, Irvine** Irvine · United States 2025–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-irvine/)

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.

📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Hardware and Architecture · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 2 Research subjects and languages the work is about.[GPU & parallel computing · 2 works](https://md.research.elamur.ai/free/en/topics/gpu-parallel-computing/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/simon-guo/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[KernelBench: Can LLMs Write Efficient GPU Kernels?](https://md.research.elamur.ai/free/en/papers/ouyang-2025-kernelbench-llms-write-efficient-gpu/)** *(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](https://md.research.elamur.ai/free/en/papers/baronio-2025-kevin-multi-turn-rl-generating/)** *(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](https://md.research.elamur.ai/free/en/authors/azalia-mirhoseini/)
- [Christopher Ré](https://md.research.elamur.ai/free/en/authors/christopher-re/)
- [Silas Alberti](https://md.research.elamur.ai/free/en/authors/silas-alberti/)
- [Simran Arora](https://md.research.elamur.ai/free/en/authors/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 →](https://md.research.elamur.ai/free/en/authors/simon-guo/cited-by/).

Updated 2 November 2026
