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November 16 - November 21, 2025

Rank: A (CORE2023)Offline

International Conference for High Performance Computing, Networking, Storage and Analysis

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Overview

The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC25) will be held in St. Louis, MO, from November 16-21, 2025. The conference features a comprehensive program including technical papers, keynotes, workshops, tutorials, an exhibitor forum, and various student programs, focusing on the latest advancements in high performance computing.

Call for papers

SC25: Call for Papers

The SC Papers program is a premier venue for presenting high-quality original research, groundbreaking ideas, and compelling insights on current and future trends in high performance computing, networking, storage, and analysis.

Dates & Deadlines

All Deadlines Are at 11:59 pm Anywhere on Earth (AoE):

  • Paper Submissions Open: March 3, 2025
  • Abstract Submissions Close: April 7, 2025
  • Full Paper Submissions Close (No Extensions): April 14, 2025
  • AD Appendix Due (Mandatory): April 28, 2025
  • Review/Rebuttal Period: June 3–6, 2025
  • Notifications Sent: June 27, 2025
  • AE Appendix & Badge Application Due (Optional): July 14, 2025
  • Revised AD Appendix & AE Appendix (if applicable) Due: August 4, 2025
  • Final Paper Due: August 25, 2025

What is a Paper?

Technical papers are peer-reviewed, and an Artifact Description is mandatory for all papers submitted to SC. For an accepted paper to be included in the proceedings, the paper has to be presented at the conference in person.

Areas/Tracks

Submissions will be considered on any topic related to high performance computing within the following areas. Authors must indicate a primary area and are strongly encouraged to indicate a secondary area:

  • Algorithms: Development, evaluation, and optimization of scalable, general-purpose, high performance algorithms.
  • Applications: Development and enhancement of algorithms, parallel implementations, models, software, and problem-solving environments for specific applications requiring high performance resources.
  • Architecture & Networks: All aspects of high performance hardware, including optimization and evaluation of processors and networks.
  • Data Analytics, Visualization, & Storage: All aspects of data analytics, visualization, storage, and storage I/O related to HPC systems. Submissions on work done at scale are highly favored.
  • HPC for Machine Learning: Development and enhancement of algorithms, systems, and software for scalable machine learning utilizing high performance computing technology.
  • Performance Measurement, Modeling, & Tools: Novel methods and tools for measuring, evaluating, and/or analyzing performance for large-scale systems.
  • Post-Moore Computing: Technologies that continue HPC performance scaling beyond the limits of Moore’s law.
  • Programming Frameworks: Compilers, programming languages, libraries, programming models, and runtime systems that enable management of hardware resources and support parallel programming for large-scale systems.
  • State of the Practice: Pragmatic practices of HPC, including operational IT infrastructure, services, facilities, large-scale application executions, and benchmarks.
  • System Software & Cloud Computing: Cloud and system software architecture, configuration, optimization, and evaluation, support for parallel programming on large-scale systems or building blocks for next-generation HPC architectures.

Submission Components

A paper submission has three components:

  1. The Paper Itself: Limited to 10 2-column pages (U.S. letter – 8.5″x11″), excluding the bibliography, using the ACM proceedings template. Latex users should use the “sigconf” option.
  2. Artifact Description Appendix (AD): Mandatory for all papers. Explains computational artifacts or why there is no artifact description.
  3. Artifact Evaluation Appendix (AE): Optional. Further details on artifact evaluation.

Eligibility

  • Papers must not have been previously published in peer-reviewed venues.
  • Papers pre-posted to arXiv, institutional repositories, or personal websites remain eligible if not published elsewhere.
  • Workshop papers are eligible if substantially enhanced (i.e., 30% new material).

Reproducibility Initiative

AD/AE Appendices are integrated into the review process. The Artifact Description Appendix (or explanation of absence) is mandatory, while the Artifact Evaluation Appendix is optional.

Paper Review Process

  • Papers are peer-reviewed by a committee of experts (three to four reviews per paper).
  • The peer review process is double-anonymous for the paper.
  • Appendices reviewers know authors’ names but are not required to disclose their names to authors (double-open for Appendices).
  • Papers not respecting submission guidelines (e.g., violating double-blind, exceeding page limits, missing AD artifacts) are subject to immediate rejection.

AI-Generated Text Policy

AI tools may be used to improve submission text, but authors are accountable for accuracy and originality. AI tools are not eligible for authorship. Use of AI-generated text must be disclosed in the acknowledgments section, with a citation to the AI system used.

Contact

For questions about Paper submissions, please contact the program committee via contact us.

Proceedings

All accepted papers will be listed in the online SC Schedule and archived in the ACM Digital Library and IEEE Xplore.

Important Dates

Conference Dates

Conference Date

November 16, 2025November 21, 2025

Previously:
  • To Be Determined

Submission

Paper Submissions Open

March 3, 2025

Applications Open

April 1, 2025

Nominations Open

April 1, 2025

Notification

Winner Selected

July 31, 2025

Winners Announced

August 1, 2025

Notifications

August 15, 2025

Camera-Ready

Final Paper Due

August 25, 2025

Other Dates

Requests Open

February 17, 2025

Requests Close

March 3, 2025

Submissions Open

March 3, 2025

Source Rank

Source: CORE2023

Rank: A

Field of Research: Computer Systems Engineering, Distributed computing and systems software

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