Scholar4AI Updated 2026-11-02 12:20 UTC+09:00

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. Also as Markdown.

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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)
YearPapersWith affiliations
20244545
20258383
2026135134

Sources#

Where OpenAlex lists the papers
OpenAlex sourceWhich papers
S4306419857The conference's proceedings

Who publishes there#

Institutions with the most ICS papers, 2024–2026
#InstitutionPapers
1Chinese Academy of Sciences15
2ETH Zurich14
3Institute of Computing Technology13
4Argonne National Laboratory11
5National University of Defense Technology11
6Oak Ridge National Laboratory10
7University of Chinese Academy of Sciences10
8University of California, Riverside8
9Lawrence Livermore National Laboratory8
10Seoul National University8
Countries with the most ICS papers, 2024–2026
#CountryPapers
1United States122
2China74
3South Korea20
4Switzerland15
5United Kingdom15
6Germany12
7Hong Kong12
8Sweden9
9Japan8
10Canada7
Keywords with the most ICS papers, 2024–2026
#KeywordPapers
1GPU acceleration33
2energy efficiency16
3large language models14
4high-performance computing13
5graph neural networks10
6load balancing10
7memory bandwidth7
8scalability7
9sparse matrix multiplication7
10sparse matrix-vector multiplication7

Most-cited papers#

Most-cited ICS papers of 2024–2026 (citations counted by OpenAlex)
#CitationsTitlePublishedAuthors
125Arkade: k-Nearest Neighbor Search With Non-Euclidean Distances using GPU Ray Tracing2024-05-30Durga Keerthi Mandarapu, Vani Nagarajan, Artem Pelenitsyn et al.
224gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters2024-05-30Jiajun Huang, Sheng Di, Xiaodong Yu et al.
317RayJoin: Fast and Precise Spatial Join2024-05-30Liang Geng, Rubao Lee, Xiaodong Zhang
415Taking GPU Programming Models to Task for Performance Portability2025-06-08Joshua Hoke Davis, Pranav Sivaraman, Joy Kitson et al.
513CLAY: CXL-based Scalable NDP Architecture Accelerating Embedding Layers2024-05-30Sungmin Yun, Hwayong Nam, Kwanhee Kyung et al.
613Understanding GPU Memory Corruption at Extreme Scale: The Summit Case Study2024-05-30Vladyslav Oles, Anna Schmedding, George Ostrouchov A et al.
712ORA: Job Runtime Prediction for High-Performance Computing Platforms Using the Online Retrieval-Augmented Language Model2025-06-08Hongyi Liu, Yinping Ma, Xiaosong Huang et al.
812Optimizing Attention by Exploiting Data Reuse on ARM Multi-core CPUs2024-05-30Xiao Fu, Weiling Yang, Dezun Dong et al.
912An Autonomous Parallelization of Transformer Model Inference on Heterogeneous Edge Devices2024-05-30Juhyeon Lee, Insung Bahk, Hoseung Kim et al.
1012DeepHYDRA: A Hybrid Deep Learning and DBSCAN-Based Approach to Time-Series Anomaly Detection in Dynamically-Configured Systems2024-05-30Franz Kevin Stehle, Wainer Vandelli, Felix Zahn et al.

Conferences in the same field#

ICRA · WWW · DAC · INFOCOM · MobiCom · ASPLOS · ISCA · SIGCOMM · HPCA · PODC · MICRO · SOSP · PerCom · IROS · DATE · SC · ICWS · ICDCS · MobiSys · IPDPS · EuroSys · IMC · ICCAD · DSN · ISLPED · HPDC · MMSys · ITC · FPGA · ICSOC · RTAS · MSWIM · CoNEXT · RTSS · DISC · Middleware · HotOS

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

@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}
}

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