---
title: "CGO (A): papers and universities"
description: "CGO (International Symposium on Code Generation and Optimization) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 155 of its papers from 2024–2026 (44 in 2024, 48 in 2025, 63 in 2026). By the countries of the authors' institutions, the most papers come from the United States (56), China (25) and the United Kingdom (22)."
url: https://scholar4ai.com/proceedings/cgo
markdown_url: https://scholar4ai.com/proceedings/cgo.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "CGO (International Symposium on Code Generation and Optimization) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 155 of its papers from 2024–2026 (44 in 2024, 48 in 2025, 63 in 2026). (as of 2026-11-02)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-02T12:20:52+09:00
window: 2026-10-04 to 2026-11-02
source: OpenAlex (CC0)
---

# CGO: International Symposium on Code Generation and Optimization — papers and institutions, 2024–2026

Papers of CGO, International Symposium on Code Generation and Optimization (CORE rank A; field: Software engineering), 2024–2026: per year, the institutions, countries and topics, and the most-cited papers. Ranks are those of the CORE Conference Rankings, edition ICORE2026 (portal.core.edu.au), applied to every year shown. Papers are the works OpenAlex lists for the conference's proceedings, or for the issues of a conference-linked journal that publishes its papers (such as PACMPL, PVLDB or ACM TOG), by publication year; workshops, companion volumes, posters and Findings are left out. A paper counts once for each institution and country among its authors' affiliations as OpenAlex assigns them; papers without affiliations in OpenAlex count for none. For conferences published in book series that OpenAlex files as one source (LNCS, LIPIcs, SIAM and IOS Press proceedings), the papers are found by DOI: those of the volumes with the conference's title in Crossref, or LIPIcs DOIs, which name the conference. Conferences without DOIs (PMLR, USENIX, OpenReview) are listed without counts. A dash (–) for a year means OpenAlex has no papers of the conference for it yet: the proceedings are not published or indexed yet, or the conference did not meet that year (some meet every other year). 2026 counts what OpenAlex had indexed by 2026-11-02.

All conferences: https://scholar4ai.com/proceedings.md

## Key findings

- CGO (International Symposium on Code Generation and Optimization) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 155 of its papers from 2024–2026 (44 in 2024, 48 in 2025, 63 in 2026).
- By the countries of the authors' institutions, the most papers come from the United States (56), China (25) and the United Kingdom (22).
- The institutions with the most papers are University of Edinburgh (12), UNSW Sydney (10) and Chinese Academy of Sciences (8).
- Its most-cited paper of these years is “SLaDe: A Portable Small Language Model Decompiler for Optimized Assembly” (2024), with 27 citations.

## Papers per year

*CGO papers per publication year in OpenAlex (–: not in OpenAlex yet)*

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | 44 | 37 |
| 2025 | 48 | 47 |
| 2026 | 63 | 56 |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S4393918247](https://openalex.org/S4393918247) | The conference's proceedings |

## Who publishes there

*Institutions with the most CGO papers, 2024–2026*

| # | Institution | Papers |
|---:|---|---:|
| 1 | University of Edinburgh | 12 |
| 2 | [UNSW Sydney](https://scholar4ai.com/institutions/unsw-sydney.md) | 10 |
| 3 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | 8 |
| 4 | [Yonsei University](https://scholar4ai.com/institutions/yonsei-university.md) | 7 |
| 5 | University of Cambridge | 7 |
| 6 | Institute of Computing Technology | 7 |
| 7 | [University of Chinese Academy of Sciences](https://scholar4ai.com/institutions/university-of-chinese-academy-of-sciences.md) | 7 |
| 8 | Universidade Federal de Minas Gerais | 5 |
| 9 | University of Illinois Urbana-Champaign | 5 |
| 10 | Technical University of Munich | 5 |

*Countries with the most CGO papers, 2024–2026*

| # | Country | Papers |
|---:|---|---:|
| 1 | United States | 56 |
| 2 | China | 25 |
| 3 | United Kingdom | 22 |
| 4 | Canada | 14 |
| 5 | Germany | 11 |
| 6 | Australia | 10 |
| 7 | Switzerland | 8 |
| 8 | France | 8 |
| 9 | South Korea | 8 |
| 10 | Spain | 6 |

*Keywords with the most CGO papers, 2024–2026*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | compiler optimization | 19 |
| 2 | code generation | 16 |
| 3 | MLIR | 11 |
| 4 | LLVM | 10 |
| 5 | intermediate representation | 10 |
| 6 | just-in-time compilation | 9 |
| 7 | domain-specific languages | 7 |
| 8 | CUDA | 6 |
| 9 | [graph neural networks](https://scholar4ai.com/keywords/graph-neural-networks.md) | 6 |
| 10 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 6 |

## Most-cited papers

*Most-cited CGO papers of 2024–2026 (citations counted by OpenAlex)*

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 27 | [SLaDe: A Portable Small Language Model Decompiler for Optimized Assembly](https://doi.org/10.1109/cgo57630.2024.10444788) | 2024-02-28 | Jordi Armengol-Estapé, Jackson Woodruff, Chris Cummins et al. |
| 2 | 20 | [oneDNN Graph Compiler: A Hybrid Approach for High-Performance Deep Learning Compilation](https://doi.org/10.1109/cgo57630.2024.10444871) | 2024-02-28 | Jianhui Li, Zhennan Qin, Yijie Mei et al. |
| 3 | 19 | [LLM-Vectorizer: LLM-Based Verified Loop Vectorizer](https://doi.org/10.1145/3696443.3708929) | 2025-02-22 | Jubi Taneja, Avery Laird, Cong Yan et al. |
| 4 | 12 | [ANT-ACE: An FHE Compiler Framework for Automating Neural Network Inference](https://doi.org/10.1145/3696443.3708924) | 2025-02-22 | Long Li, Jianxin Lai, Peng Yuan et al. |
| 5 | 12 | [Tackling the Matrix Multiplication Micro-Kernel Generation with Exo](https://doi.org/10.1109/cgo57630.2024.10444883) | 2024-02-28 | Adrián Castelló, Julian Bellavita, Grace Dinh et al. |
| 6 | 12 | [Whose Baseline Compiler is it Anyway?](https://doi.org/10.1109/cgo57630.2024.10444855) | 2024-02-28 | Ben L. Titzer |
| 7 | 11 | [Revealing Compiler Heuristics Through Automated Discovery and Optimization](https://doi.org/10.1109/cgo57630.2024.10444847) | 2024-02-28 | Volker Seeker, Chris Cummins, Murray Cole et al. |
| 8 | 10 | [The MLIR Transform Dialect](https://doi.org/10.1145/3696443.3708922) | 2025-02-22 | Martin Paul Lücke, Oleksandr Zinenko, William S. Moses et al. |
| 9 | 10 | [A Multi-level Compiler Backend for Accelerated Micro-kernels Targeting RISC-V ISA Extensions](https://doi.org/10.1145/3696443.3708952) | 2025-02-22 | Alexandre Lopoukhine, Federico Ficarelli, Christos Vasiladiotis et al. |
| 10 | 9 | [Stardust: Compiling Sparse Tensor Algebra to a Reconfigurable Dataflow Architecture](https://doi.org/10.1145/3696443.3708918) | 2025-02-22 | Olivia Hsu, Alexander Rucker, Tian Yun Zhao et al. |

## Cite this page

Scholar4AI. (2026). CGO: International Symposium on Code Generation and Optimization — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/cgo

```bibtex
@misc{scholar4ai-proceedings-cgo,
  author = {{Scholar4AI}},
  title = {CGO: International Symposium on Code Generation and Optimization — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/cgo}},
  urldate = {2026-11-02},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).