The PASC Conference series is an international and interdisciplinary forum dedicated to advancing scientific computing and computational science, with a strong emphasis on methods, tools, algorithms, workflows, application challenges, and emerging techniques for high-performance computing (HPC) in scientific research.
The PASC Conference was established within the framework of the Swiss Platform for Advanced Scientific Computing initiative and is co-sponsored by the Association for Computing Machinery (ACM) and the Swiss National Supercomputing Centre (CSCS). The conference is managed by CSCS. The event will be hosted at the Palazzo dei Congressi, Lugano Switzerland.
The technical program spans a broad range of scientific domains, including chemistry and materials science; climate, weather, and earth sciences; applied social sciences and humanities; engineering; life sciences; physics; and computational methods and applied mathematics. The papers program is designed to strengthen scientific communication across these disciplines in the context of HPC-enabled research.
The technical program of PASC27 is organized around the following scientific domains:
- Chemistry and Materials (incl. ceramics, metals, polymers)
- Climate, Weather, and Earth Sciences (incl. solid earth dynamics)
- Applied Social Sciences and Humanities (incl. behavioral, economic, legal, political, business, philosophy, languages, the arts, ethics in computing such as environmental impact of HPC, mitigation of biases in algorithms, machine learning, etc.)
- Engineering (incl. computational fluid dynamics, computational mechanics, computational engineering, materials, acoustics, signal processing, etc.)
- Life Sciences (incl. biophysics, computational biomechanics, genomics, bioinformatics, systems biology, neuroscience, and computational biology)
- Physics (incl. astrophysics, cosmology, plasma physics, and quantum information sciences)
- Computational Methods and Applied Mathematics
Additional information on the theme of this conference edition can be found here.
As an example of the targeted quality, please refer to earlier PASC Conference papers publications: www.sighpc.org/for-our-community/acm-open-tocs
Topics of interest include, but are not limited to:
- Extreme scalable methods in computational science and engineering, such as algorithms and software for scalable multi-scale, multi-physics, and high-fidelity computational science and engineering problems.
- Numerical methods, algorithms, or large-scale simulations in computational fluid dynamics, computational mechanics, computational engineering materials, turbulent flow, and computational cosmology.
- Effective use of advanced computing systems for large-scale scientific applications, including modern multi- and many-core CPUs and accelerators with deep memory hierarchies, and energy-efficient architectures.
- Best practices and tools for productive and sustainable scientific and engineering software development.
- The integration of large-scale experimental and observational scientific data and high-performance data analytics and computing.
- Reproducibility for computational science and engineering.
- Verification, validation, and uncertainty quantification.
- Domain specific languages; toolchains for source-to-source translation/adaption.
- Runtime systems and middleware, such as task- and data-driven computation on heterogeneous architectures.
- Algorithms and strategies for effective use of machine learning, deep learning or AI to accelerate computational science.
- Machine learning / AI in the context of large parallel HPC applications, data sets or workflows.
- Unstructured vs. structured meshes for computational science applications at exascale
- Numerical algorithm development for post-exascale computing, including, but not limited to, communication avoiding algorithms, use of reduced or mixed precision, and integration of scalable numerical libraries in application software.
- Computational approaches for social sciences such as finance, urban planning, mobility or disaster response.
Papers accepted for PASC27 will be presented as talks, and published in the Proceedings of the PASC Conference, accessible via the ACM Digital Library [1]. A selection of the highest quality papers may be given the opportunity of a plenary presentation. In selecting papers for plenary presentation, the Papers Committee will place particular weight on impact, interdisciplinarity and interest to a broad audience.
Submission and Review
The PASC27 Papers Program Committee is responsible for the paper evaluation process. The committee is chaired by Katharina Kormann (Ruhr University Bochum, Germany), and Nick Brown (EPCC, UK), and comprises of domain co-chairs and committee members who are specialists in their scientific fields. Papers will be evaluated by reviewers in the PASC27 papers committee on their significance, technical soundness, originality, and quality of communication.
We employ a rigorous academic peer-review process: most notably, we allow the possibility for provisional acceptance (revision and author rebuttal). Committee reviewers are solicited for each submission, with additional external reviewers where needed. The paper selection process thus combines the strengths of conference and journal publication schemes to provide an effective, high-impact publication venue in large-scale computational science.
Contributions must be submitted through the PASC Conference online submission portal. Submissions should include the following:
- Title: Maximum 20 words
- Scientific Domain: Select a primary and optionally secondary scientific domain(s)
- Author Details: Full names and contact details of author(s)
- Short Abstract: Maximum 250 words
- Paper:
- First Stage: Maximum 10 pages including figures, tables, and appendices; but excl. references.
- Second Stage: In the revision phase, an extra page will be granted for the final paper to accommodate review requests.
Papers must be submitted in the current ACM Article Template (sigconf proceedings) format [2].
The PASC Conference highly encourages authors to follow reproducible science principles for their submissions, to counter the reproducibility crisis in scientific publishing and increase the community value of computational research papers. Paper authors are highly encouraged to link data & software artifacts as a reference (supplementary materials archive), e.g., using open and freely available services such as, but not limited to, Zenodo.org, Figshare.com, DRYAD, institutional data archival platforms, or publicly accessible GitHub/GitLab instances. As guidance, data artifacts may include, as appropriate, the used/modified source code, run & analysis scripts, input files, and/or data (raw/processed as size allows); an artifact description (“README”) including used standards/schema where used, a respective data archive license, and persistent link (ie., DOI).
Paper authors should plan to present their content in-person.
Authors of papers that are accepted for PASC27 will be given 20-30 minute presentation slots at the conference, grouped in topically-focused parallel sessions. A selection of the highest quality papers may be given the opportunity of a plenary presentation. Papers that are presented at PASC26 will be published in the Proceedings of the PASC Conference, accessible via the ACM Digital Library. Please note that speakers must register for the conference and are subject to the corresponding registration fee.
If you have any questions regarding the submission or reviewing process please email info@pasc-conference.org. We look forward to receiving your submissions.
Notes:
[1]:
ACM Publication Policies and Requirements
By submitting a paper to PASC, authors acknowledge that they and their co-authors must comply with all applicable ACM Publication Policies. This includes ACM’s Publications Policy on Research Involving Human Participants and Subjects. Any suspected violations of ACM policies will be investigated and may lead to consequences such as full paper retraction and additional penalties, in accordance with ACM guidelines.
ORCID Requirement
All authors are required to obtain an ORCID iD to complete the publication process for accepted papers. ACM is committed to improving author visibility, ensuring accurate attribution, and supporting global efforts in name disambiguation. Providing an ORCID iD contributes to these objectives and is mandatory for publication.
Open Access Policy (Effective January 1, 2026)
As of January 1, 2026, ACM has transitioned to a fully Open Access publishing model. Authors may publish their work through one of the following options:
– ACM Open (Institutional Agreements); Authors affiliated with one of the 2,600+ participating institutions can publish Open Access without paying Article Processing Charges (APCs).
– Article Processing Charges (APCs); Authors from non-participating institutions are required to pay an APC, unless they qualify for a waiver under ACM’s discretionary policy.
[2]: www.acm.org/publications/article-templates/proceedings-template.html; see section “LaTex Authors” for the link to download the class file (acmart.cls) and sample template (sample-sigconf.tex). Two-column format should be used, i.e., documentclass[sigconf]{acmart}. Microsoft Word users should prepare their manuscripts with Interim-layout.doc, from the section “Word Authors”, subsection “Interim Template” (this is also a two-column format).
