[hpc-announce] HPCMALL 2026 Call for papers (with HPC/Asia 2026)

[JESUS CARRETERO PEREZ]

######### Workshop CFP ############################

HPCMALL 2026.
3rd International Workshop on Malleability Techniques Applications in
High-Performance Computing.

Together with SCA/HPCAsia 2026, January 26-29 2026, Osaka, Japan

## Submission Timeline #############

-  Paper submission: 8 November 2025 (AOE)

-  Notification of Acceptance: 30 November 2025

-  Camera-ready paper due: 15 December 2025

* Submission link: (https://urldefense.us/v3/__https://easychair.org/conferences?conf=hpcmall2026__;!!G_uCfscf7eWS!dvHI6uA8bxXYdcZkKL8piXdL-eWjKY0DX2qoMjQZE3oMX-tabzVPW7g1CXuhbBtpUyV1cqU9EU4JfcYc__sEaXqmGIv4$ )


## Workshop Chairs

- Prof. Jesus Carretero, University Carlos III of Madrid, Spain.
- Prof. Martin Schulz, Technical University of Munich, Germany.
- Prof. Estela Suarez, Juelich Supercomputing Centre,
Forschungszentrum Juelich GmbH and University of Bonn, Germany.

## Motivation and Objectives

The current static usage model of HPC systems is becoming increasingly
inefficient. This is driven by the continuously growing complexity and
heterogeneity of system architectures, in combination with the
increased usage of coupled applications, the need for strong scaling
with extreme scale parallelism, and the increasing reliance on complex
and dynamic workflows. As a consequence, we see a rise in research on
dynamic resource management in HPC, including malleable systems,
middleware software, and elastic applications, which are designed to
adjust resource usage dynamically in order to extract the maximum
efficiency of large-scale clusters. By providing an intelligent global
coordination of resource usage, through runtime scheduling of
computation, network usage and I/O across all components of the system
architecture, malleable HPC systems can maximize the exploitation of
the available resources, while at the same time minimizing the overall
makespan of applications in many, if not most, cases. Of particular
concern is the emerging class of data-intensive applications and their
interactions with classic simulation workloads, driven by the growing
need to process extremely large data sets. Further, by utilizing new
scheduling paradigms for emerging multi-tier storage hierarchies,
malleability allows to dynamically adjust the computation and storage
needs of applications, on the one side, and the global system on the
other.

Such malleable systems, however, face a series of fundamental research
challenges, including: How do we capture the current status of systems
and detect inefficient resource usage? Who initiates changes in
resource availability or usage? How is it communicated? How to compute
the optimal usage? How can applications cope with dynamically changing
resources? What should malleable programming models and abstractions
look like? How to design resource management frameworks for malleable
systems? Which resources benefit from malleability and which (if any)
should still be managed statically?

In order to address these challenges, the HPCMALL 2026 workshop will
bring together researchers from diverse areas of HPC that are impacted
or actively pursuing malleability concepts, from application
developers to system architects, from programming models to system
software researchers. In addition to high-quality, refereed
publications and talks, the workshop will provide a lively discussion
forum for researchers working in HPC and pursuing the concepts of and
around malleability, to reflect on the advances achieved in the field
since the previous editions of this workshop.

### Topics

We are looking for original high-quality research and position papers
on applications, services, and system software for malleable
high-performance computing systems. Topics of interest include, but
are not limited to:

- System and system architecture considerations in designing malleable
architectures.

- Emerging software designs to achieve malleability in
high-performance computing.

- High-level parallel programming models and programmability
techniques to improve applications' malleability.

- Runtime techniques to provide malleable execution models for
computation, communication, and I/O.

- Resource management frameworks and interfaces supporting malleable
scheduling, resource allocations and application execution.

- Computing and I/O scheduling algorithms providing and/or exploiting
static or dynamic malleability.

- Interaction between state-of-the-art HPC systems and large-scale
disaggregated resources, e.g., for AI or Quantum appliances, and their
dynamic usage.

- Use of AI and ML techniques to steer malleability in systems and applications.

- Ad-hoc storage systems and I/O scheduling techniques helping I/O malleability.

- Support for malleable execution of applications in performance,
debugging, and correctness tools.

- Energy efficiency and malleability (applications, over-provisioned
systems wrt. power/energy, storage systems, etc.).

- Experiences and use cases applying malleability to HPC applications.



## Publication

Papers will be published together with SCA/HPCAsia proceedings.

## Submission Guidelines

### Online Submission System

Authors submitting papers for HPCMALL 2026 must do so via the
"EasyChair submission web page for HPCMALL2026"
(https://urldefense.us/v3/__https://easychair.org/conferences?conf=hpcmall2026__;!!G_uCfscf7eWS!dvHI6uA8bxXYdcZkKL8piXdL-eWjKY0DX2qoMjQZE3oMX-tabzVPW7g1CXuhbBtpUyV1cqU9EU4JfcYc__sEaXqmGIv4$ ). Authors are
invited to submit technical papers of no more than 12 pages in PDF
format, including figures and references. The papers should be
formatted according to the ACM Proceedings Style and submitted through
the Online Submission System.

Submitted papers must contain original work that has not appeared in
and is not under consideration for another conference, journal, or
workshop. The review process is double-blind. There will be no
revision rebuttal process and the review will be one-pass.

### Submission Format

All authors should submit manuscripts for review in a single-column
format. Manuscripts must be at most 12 pages in PDF format including
figures and references, formatted according to the ACM Proceedings
Style. The ACM templates for Word and LaTeX are shown below. Also, ACM
has partnered with Overleaf and the ACM LaTeX template on Overleaf
platform is available.

Please follow STEP 1 (Microsoft Word/LaTeX) at "2. The Workflow and
Templates" in [https://urldefense.us/v3/__https://www.acm.org/publications/authors/submissions*(https:/*www.acm.org/publications/authors/submissions)__;XS8!!G_uCfscf7eWS!dvHI6uA8bxXYdcZkKL8piXdL-eWjKY0DX2qoMjQZE3oMX-tabzVPW7g1CXuhbBtpUyV1cqU9EU4JfcYc__sEaeWKu1ek$ .
Please note that there are two different instructions for Word and
LaTeX template users.

## ACM Templates
* Word (docx) -
[download](https://urldefense.us/v3/__https://www.acm.org/binaries/content/assets/publications/taps/acm_submission_template.docx__;!!G_uCfscf7eWS!dvHI6uA8bxXYdcZkKL8piXdL-eWjKY0DX2qoMjQZE3oMX-tabzVPW7g1CXuhbBtpUyV1cqU9EU4JfcYc__sEaS2UhMwV$ )
* LaTex (zip) [download](https://urldefense.us/v3/__https://portalparts.acm.org/hippo/latex_templates/acmart-primary.zip__;!!G_uCfscf7eWS!dvHI6uA8bxXYdcZkKL8piXdL-eWjKY0DX2qoMjQZE3oMX-tabzVPW7g1CXuhbBtpUyV1cqU9EU4JfcYc__sEaVU0Jhq_$ )
  use a "manuscript" format option (Please refer to
sample/sample-manuscript.tex).
* Overleaf use a "manuscript" format option.


## Program committee

* Marco Aldinucci, University of Torino, Italy.
* Carlos Jaime Barrios Hernandez. Université Grenoble Alpes, Inria. France.
* Alberto Cascajo. Universidad Carlos III de Madrid. Spain.
* Javier Fernandez-Muñoz. Universidad Carlos III de Madrid. Spain.
* Maria Fazio. Università degli Studi di Messina. Italy.
* Balazs Gerofi, RIKEN, Japan.
* Sonja Happ. PArTec AG. Germany.
* Dominik Huber. Technical University of Munich. Germany.
* Sergio Iserte. Barcelona Supercomputing Center. Spain.
* Thomas Jakobsche. University Basel. Switzerland.
* Raffaele Montella. University of Naples “Parthenope'” (UNP), Italy.
* Krzysztof Rojeck. Częstochowa University of Technology (PCZ), Poland.
* Martin SCHREIBER. Université Grenoble Alpes, Inria. France.
* David E. Singh, Universidad Carlos III de Madrid. Spain.
* Ahmad Tarraf.  Technical University of Darmstadt. Germany.
* Hiroyuki Takizawa. Tohoku University. Japan.
* Massimo Torquatti, University of Pisa, Italy.

-- 
-------------------------------------------------
Prof. Jesus Carretero
Computer Architecture Professor
Director of the PhD Program in Computer Science and Technology
Computer Science and Engineering Dep. University Carlos III of Madrid
Avda. Universidad 30,  28911 Leganes, Madrid, Spain
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