Call for Papers
The ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) is the premier annual conference for presenting the latest research on the design, implementation, evaluation, and use of parallel and distributed systems for high-end computing. The 34th HPDC will take place in Notre Dame, Indiana, United States, July 20-23, 2025.
In the context of high-performance parallel and distributed computing, the topics of interest include, but
are not limited to:
January 16, 2025. Paper Abstract Submission Deadline (Technical Papers)
January 23, 2025. (Firm) Paper Submission Deadline (Technical Papers)
March 24, 2025. Notification of Acceptance (Technical Papers)
April 21, 2025. Camera-ready Version (Technical Papers)
Submissions to HPDC can be made in one of the following two categories: (1) regular papers, or (2)
open-source tools and data papers.
The primary focus of regular papers should be to describe new research ideas supported by experimental
implementation and evaluation
of the proposed research ideas. The primary focus of open-source tools and data should be to describe the
design, development, and
evaluation of new open-source tools or novel data sources. Submissions in the regular papers category are
also strongly encouraged
to open-source their software or hardware artifacts.
The authors are required to indicate the category of the paper as a part of the submitted manuscript's
title. The last line of the title
should indicate the paper type by using one of the two phrases (1) Paper Type: Regular, or (2) Paper Type:
Open-source tools and data paper.
Submissions in both categories will be evaluated to the same standards in terms of novelty, scientific
value, demonstrated usefulness,
and potential impact on the field. The chosen category at the time of the submission can not be changed
after the submission deadline.
Authors are invited to submit technical papers of at most 11 pages in PDF format, excluding references. Accepted papers will have the flexibility to use an additional page in the camera-ready to incorporate feedback from the reviewers. Papers should be formatted in the ACM Proceedings Style (using sigconf from https://www.acm.org/publications/proceedings-template) and submitted via the conference submission website. Submitted papers must be original work that has not appeared in and is not under consideration for another conference or a journal.
HPDC uses dual-anonymous (identities of reviewers and authors are not shared) reviewing. Avoid identifying yourself or your institution explicitly or by
implication (e.g., through the references or acknowledgments).
The first page should use the paper ID assigned during registration in place of the author names.
Use care in referring to your own related work. Do not omit references to your prior work, as this would
make it difficult for reviewers to place your submission
in its proper context. Instead, reference your past work in the third person, just as you would any other
piece of related work. In some cases, it is not credible
to refer to your related work in the third person. For example, your submission may extend a previous
workshop paper, or it may relate to a submission currently
under review at HPDC or another venue. In these cases, you must still explain the differences between your
HPDC submission and the other work, but you should cite
the other work anonymously and e-mail the deanonymized work to the PC chairs.
If your submission reports on experiences with a system at your institution, you should refer to the system
anonymously but describe the properties of the system
that are needed to evaluate the work (e.g., size of the user base, volume of requests, etc.). We recognize
that, in some cases, these properties may allow a reviewer
to identify your institution. Tool/data papers should also adhere to the double-blind submission policy. If
the described tool/dataset framework is already widely
used by the research community, consider describing the framework using a different name and not sharing the
open-source code repository in the paper.
Papers containing information that is subject to a non-disclosure agreement (NDA) will not be considered for review.
Please note that having an arXiv paper does not prohibit authors from submitting a paper to HPDC 2024. arXiv papers are not peer-reviewed and not considered as formal publications and hence do not count as prior work. Authors are not expected to compare against arXiv papers that have not formally appeared in previous conference or journal proceedings. If a submitted paper is already on arXiv, please continue to follow the double-blind submission guidelines. Authors are encouraged to use preventive measures to reduce the chances of accidental breach of anonymity (e.g., use a different title in the submission and do not upload/revise the arXiv version during the review period after the submission deadline).
Please note that the author list cannot be changed after acceptance.
At the time of submission, all authors must indicate their conflict of interest with the PC members. A conflict of interest may be institutional, collaborative, or personal. Please see detailed guidelines about how to accurately declare a conflict of interest on the submission website.
HPDC permits the use of AI tools (e.g., ChatGPT, Grammarly, or other AI assistants) to help improve the submission text. We recommend that you use these services merely for language rectification. The authors should verify whether the results are accurate before submission. Only the authors are fully responsible and accountable for the contents of their papers. AI tools are not eligible for authorship.
The use of any AI-generated text must be disclosed in the acknowledgments section. The sections of the paper that use AI-generated text should have a citation to the AI system used in the acknowledgments section. The acknowledgment section should still follow the dual-anonymous submission guideline (i.e., any author-related information should not be included).
Please refer to the ACM Policy on Authorship for all other guidelines. The frequently asked questions page
(https://www.acm.org/publications/policies/frequently-asked-questions)
provides policies on the use of generative
AI tools in preparing manuscripts.
By submitting your article to an ACM Publication, you are hereby acknowledging that you and your co-authors
are subject to all ACM Publications Policies,
including ACM's new Publications Policy on Research Involving Human Participants and Subjects. Alleged
violations of this policy or any ACM Publications
Policy will be investigated by ACM and may result in a full retraction of your paper, in addition to other
potential penalties, as per ACM Publications Policy.
Please ensure that you and your co-authors obtain an ORCID ID, so you can complete the publishing process
for your accepted paper. ACM has been involved in
ORCID from the start and we have recently made a commitment to collect ORCID IDs from all of our published
authors. The collection process has started and
will roll out as a requirement throughout 2022. We are committed to improve author discoverability, ensure
proper attribution and contribute to ongoing community
efforts around name normalization; your ORCID ID will help in these efforts.
Ivona Brandić (ivona.brandic@tuwien.ac.at)
Robert Wisniewski (bobww123@gmail.com)
You can reach the submission site by clicking on the red button below.
HPDC authors are encouraged to structure their introduction section of the paper in the following format (as subsections or headings).
If your research describes a new security-related attack, please consider adding information about the responsible disclosure to the relevant entity. Overall, as appropriate and relevant, the paper should follow the ethical principles and not alter the security/privacy/equality expectations of the associated human users.
Please consider making your research contribution description inclusive in nature. For example, consider using gender-neutral pronouns, consider using examples that are ethnicity/culture-rich, consider engaging users from diverse backgrounds if your research involves a survey, etc. Best efforts should be made to make the paper accessible to visually impaired or color-blind readers.