---
title: "ICS (A): papers and universities"
description: "ICS (ACM International Conference on Supercomputing) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 263 of its papers from 2024–2026 (45 in 2024, 83 in 2025, 135 in 2026). By the countries of the authors' institutions, the most papers come from the United States (122), China (74) and South Korea (20)."
url: https://scholar4ai.com/proceedings/ics
markdown_url: https://scholar4ai.com/proceedings/ics.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "ICS (ACM International Conference on Supercomputing) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 263 of its papers from 2024–2026 (45 in 2024, 83 in 2025, 135 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)
---

# ICS: ACM International Conference on Supercomputing — papers and institutions, 2024–2026

Papers of ICS, ACM International Conference on Supercomputing (CORE rank A; field: Computer science (general), 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

- ICS (ACM International Conference on Supercomputing) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 263 of its papers from 2024–2026 (45 in 2024, 83 in 2025, 135 in 2026).
- By the countries of the authors' institutions, the most papers come from the United States (122), China (74) and South Korea (20).
- The institutions with the most papers are Chinese Academy of Sciences (15), ETH Zurich (14) and Institute of Computing Technology (13).
- Its most-cited paper of these years is “Arkade: k-Nearest Neighbor Search With Non-Euclidean Distances using GPU Ray Tracing” (2024), with 25 citations.

## Papers per year

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

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | 45 | 45 |
| 2025 | 83 | 83 |
| 2026 | 135 | 134 |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S4306419857](https://openalex.org/S4306419857) | The conference's proceedings |

## Who publishes there

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

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | 15 |
| 2 | ETH Zurich | 14 |
| 3 | Institute of Computing Technology | 13 |
| 4 | Argonne National Laboratory | 11 |
| 5 | [National University of Defense Technology](https://scholar4ai.com/institutions/national-university-of-defense-technology.md) | 11 |
| 6 | Oak Ridge National Laboratory | 10 |
| 7 | [University of Chinese Academy of Sciences](https://scholar4ai.com/institutions/university-of-chinese-academy-of-sciences.md) | 10 |
| 8 | University of California, Riverside | 8 |
| 9 | Lawrence Livermore National Laboratory | 8 |
| 10 | [Seoul National University](https://scholar4ai.com/institutions/seoul-national-university.md) | 8 |

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

| # | Country | Papers |
|---:|---|---:|
| 1 | United States | 122 |
| 2 | China | 74 |
| 3 | South Korea | 20 |
| 4 | Switzerland | 15 |
| 5 | United Kingdom | 15 |
| 6 | Germany | 12 |
| 7 | Hong Kong | 12 |
| 8 | Sweden | 9 |
| 9 | Japan | 8 |
| 10 | Canada | 7 |

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

| # | Keyword | Papers |
|---:|---|---:|
| 1 | GPU acceleration | 33 |
| 2 | energy efficiency | 16 |
| 3 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 14 |
| 4 | high-performance computing | 13 |
| 5 | [graph neural networks](https://scholar4ai.com/keywords/graph-neural-networks.md) | 10 |
| 6 | load balancing | 10 |
| 7 | memory bandwidth | 7 |
| 8 | scalability | 7 |
| 9 | sparse matrix multiplication | 7 |
| 10 | sparse matrix-vector multiplication | 7 |

## Most-cited papers

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

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 25 | [Arkade: k-Nearest Neighbor Search With Non-Euclidean Distances using GPU Ray Tracing](https://doi.org/10.1145/3650200.3656601) | 2024-05-30 | Durga Keerthi Mandarapu, Vani Nagarajan, Artem Pelenitsyn et al. |
| 2 | 24 | [gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters](https://doi.org/10.1145/3650200.3656636) | 2024-05-30 | Jiajun Huang, Sheng Di, Xiaodong Yu et al. |
| 3 | 17 | [RayJoin: Fast and Precise Spatial Join](https://doi.org/10.1145/3650200.3656610) | 2024-05-30 | Liang Geng, Rubao Lee, Xiaodong Zhang |
| 4 | 15 | [Taking GPU Programming Models to Task for Performance Portability](https://doi.org/10.1145/3721145.3730423) | 2025-06-08 | Joshua Hoke Davis, Pranav Sivaraman, Joy Kitson et al. |
| 5 | 13 | [CLAY: CXL-based Scalable NDP Architecture Accelerating Embedding Layers](https://doi.org/10.1145/3650200.3656595) | 2024-05-30 | Sungmin Yun, Hwayong Nam, Kwanhee Kyung et al. |
| 6 | 13 | [Understanding GPU Memory Corruption at Extreme Scale: The Summit Case Study](https://doi.org/10.1145/3650200.3656615) | 2024-05-30 | Vladyslav Oles, Anna Schmedding, George Ostrouchov A et al. |
| 7 | 12 | [ORA: Job Runtime Prediction for High-Performance Computing Platforms Using the Online Retrieval-Augmented Language Model](https://doi.org/10.1145/3721145.3725757) | 2025-06-08 | Hongyi Liu, Yinping Ma, Xiaosong Huang et al. |
| 8 | 12 | [Optimizing Attention by Exploiting Data Reuse on ARM Multi-core CPUs](https://doi.org/10.1145/3650200.3656620) | 2024-05-30 | Xiao Fu, Weiling Yang, Dezun Dong et al. |
| 9 | 12 | [An Autonomous Parallelization of Transformer Model Inference on Heterogeneous Edge Devices](https://doi.org/10.1145/3650200.3656628) | 2024-05-30 | Juhyeon Lee, Insung Bahk, Hoseung Kim et al. |
| 10 | 12 | [DeepHYDRA: A Hybrid Deep Learning and DBSCAN-Based Approach to Time-Series Anomaly Detection in Dynamically-Configured Systems](https://doi.org/10.1145/3650200.3656637) | 2024-05-30 | Franz Kevin Stehle, Wainer Vandelli, Felix Zahn et al. |

## Cite this page

Scholar4AI. (2026). ICS: ACM International Conference on Supercomputing — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/ics

```bibtex
@misc{scholar4ai-proceedings-ics,
  author = {{Scholar4AI}},
  title = {ICS: ACM International Conference on Supercomputing — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/ics}},
  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/).