---
title: "SOSP (A*): papers and universities"
description: "SOSP (ACM SIGOPS Symposium on Operating Systems Principles) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 161 of its papers from 2024–2026 (43 in 2024, 56 in 2025, 62 in 2026). By the countries of the authors' institutions, the most papers come from the United States (106), China (54) and Switzerland (18)."
url: https://scholar4ai.com/proceedings/sosp
markdown_url: https://scholar4ai.com/proceedings/sosp.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "SOSP (ACM SIGOPS Symposium on Operating Systems Principles) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 161 of its papers from 2024–2026 (43 in 2024, 56 in 2025, 62 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)
---

# SOSP: ACM SIGOPS Symposium on Operating Systems Principles — papers and institutions, 2024–2026

Papers of SOSP, ACM SIGOPS Symposium on Operating Systems Principles (CORE rank A*; field: Distributed computing and systems software), 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

- SOSP (ACM SIGOPS Symposium on Operating Systems Principles) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 161 of its papers from 2024–2026 (43 in 2024, 56 in 2025, 62 in 2026).
- By the countries of the authors' institutions, the most papers come from the United States (106), China (54) and Switzerland (18).
- The institutions with the most papers are Shanghai Jiao Tong University (19), Tsinghua University (15) and University of Illinois Urbana-Champaign (12).
- Its most-cited paper of these years is “PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU” (2024), with 147 citations.

## Papers per year

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

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | 43 | 43 |
| 2025 | 56 | 56 |
| 2026 | 62 | 62 |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S7407089168](https://openalex.org/S7407089168) | The conference's proceedings |

## Who publishes there

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

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Shanghai Jiao Tong University](https://scholar4ai.com/institutions/shanghai-jiao-tong-university.md) | 19 |
| 2 | [Tsinghua University](https://scholar4ai.com/institutions/tsinghua-university.md) | 15 |
| 3 | University of Illinois Urbana-Champaign | 12 |
| 4 | [Peking University](https://scholar4ai.com/institutions/peking-university.md) | 12 |
| 5 | Microsoft (United States) | 10 |
| 6 | ETH Zurich | 9 |
| 7 | École Polytechnique Fédérale de Lausanne | 9 |
| 8 | University of California, Berkeley | 9 |
| 9 | Carnegie Mellon University | 8 |
| 10 | University of British Columbia | 7 |

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

| # | Country | Papers |
|---:|---|---:|
| 1 | United States | 106 |
| 2 | China | 54 |
| 3 | Switzerland | 18 |
| 4 | Hong Kong | 12 |
| 5 | Canada | 10 |
| 6 | United Kingdom | 9 |
| 7 | South Korea | 7 |
| 8 | Germany | 3 |
| 9 | Israel | 3 |
| 10 | France | 2 |

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

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 14 |
| 2 | fault tolerance | 12 |
| 3 | large language model inference | 9 |
| 4 | Linux kernel | 6 |
| 5 | formal verification | 6 |
| 6 | large language model training | 5 |
| 7 | service level objectives | 5 |
| 8 | Byzantine fault tolerance | 4 |
| 9 | bug detection | 4 |
| 10 | eBPF | 4 |

## Most-cited papers

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

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 147 | [PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU](https://doi.org/10.1145/3694715.3695964) | 2024-11-04 | Yixin Song, Zeyu Mi, Haotong Xie et al. |
| 2 | 63 | [LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence Parallelism](https://doi.org/10.1145/3694715.3695948) | 2024-11-04 | Bingyang Wu, Shengyu Liu, Yinmin Zhong et al. |
| 3 | 40 | [Verus: A Practical Foundation for Systems Verification](https://doi.org/10.1145/3694715.3695952) | 2024-11-04 | Andrea Lattuada, Travis Hance, Jay Bosamiya et al. |
| 4 | 33 | [Tiered Memory Management: Access Latency is the Key!](https://doi.org/10.1145/3694715.3695968) | 2024-11-04 | Midhul Vuppalapati, Rachit Agarwal |
| 5 | 22 | [Reducing Energy Bloat in Large Model Training](https://doi.org/10.1145/3694715.3695970) | 2024-11-04 | Jae-Won Chung, Yile Gu, Insu Jang et al. |
| 6 | 21 | [Autobahn: Seamless high speed BFT](https://doi.org/10.1145/3694715.3695942) | 2024-11-04 | Neil Giridharan, Florian Suri-Payer, Ittai Abraham et al. |
| 7 | 20 | [TrEnv: Transparently Share Serverless Execution Environments Across Different Functions and Nodes](https://doi.org/10.1145/3694715.3695967) | 2024-11-04 | Jianda Huang, Mingxing Zhang, Teng Ma et al. |
| 8 | 18 | [ReCycle: Resilient Training of Large DNNs using Pipeline Adaptation](https://doi.org/10.1145/3694715.3695960) | 2024-11-04 | Swapnil Gandhi, Mark Zhao, Athinagoras Skiadopoulos et al. |
| 9 | 17 | [Icarus: Trustworthy Just-In-Time Compilers with Symbolic Meta-Execution](https://doi.org/10.1145/3694715.3695949) | 2024-11-04 | Naomi Smith, Abhishek Sharma, John Renner et al. |
| 10 | 16 | [Caribou: Fine-Grained Geospatial Shifting of Serverless Applications for Sustainability](https://doi.org/10.1145/3694715.3695954) | 2024-11-04 | Viktor Gsteiger, Pin Hong Long, Yiran Sun et al. |

## Cite this page

Scholar4AI. (2026). SOSP: ACM SIGOPS Symposium on Operating Systems Principles — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/sosp

```bibtex
@misc{scholar4ai-proceedings-sosp,
  author = {{Scholar4AI}},
  title = {SOSP: ACM SIGOPS Symposium on Operating Systems Principles — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/sosp}},
  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/).