## Motivation and Objectives

AI and data-intensive workloads are driving up both computational and energy demands, with data movement and storage now consuming energy on par with computation. Yet, these costs remain poorly understood and rarely optimized. This workshop brings together researchers and practitioners from AI, HPC, and energy domains to address the challenges of modeling, profiling, and optimizing data flows for performance and sustainability. Topics include power profiling, bottleneck analysis, and energy-aware strategies across diverse architectures, from high-end HPC to resource-constrained systems. The workshop emphasizes holistic energy optimization, highlighting data movement as a critical factor in application performance and sustainability. It encourages the development of methods and tools that improve energy efficiency and supports collaboration toward more sustainable computing practices.

### Submission Guidelines

- 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.
- Authors submitting papers for DERAM2026 must do so via the EasyChair submission web page (https://easychair.org/conferences?conf=dream2026).
- 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://www.acm.org/publications/authors/submissions. Please note that there are two different instructions for Word and LaTeX.
- The ACM templates for Word (https://www.acm.org/binaries/content/assets/publications/taps/acm_submission_template.docx) and LaTeX (https://portalparts.acm.org/hippo/latex_templates/acmart-primary.zip).
- For more details, please visit the Primary Article Templates page.
- We use single-blind reviewing process so you can keep authors' names, publications, etc.

### List of Topics

This workshop will focus on key technical areas critical to energy-efficient data movement across modern computing systems, including:
- Best practices for balancing throughput, latency, and sustainability
- Metrics and measurement approaches for data movement energy efficiency
- Performance modeling for data-intensive and AI workloads
- Tools and methods for data movement, data flow profiling, and tuning
- Characterization of emerging workload and the power profile
- Energy-aware dataflow and I/O optimizations
- Power monitoring and reduction strategies for underlying subsystems
- Energy measurements and modeling in emerging hardware

## Committees

### Steering Committee

* Florina Ciorba - University of Basel
* Marta Garcia Gasulla - Barcelona Supercomputing Center
* Toshihiro Hanawa - The University of Tokyo
* Utz-Uwe Haus - HPE HPC/AI EMEA Research Lab
* Kathryn Mohror - Lawrence Livermore National Laboratory
* Matthias Müller - RWTH Aachen University
* Sarah Neuwirth (Co-Chair) - Johannes Gutenberg University Mainz
* Chen Wang (Co-Chair) - Nanyang Technological University

### Organizing committee

* Zhaobin Zhu - Johannes Gutenberg University Mainz
* Ryoma Ohara - The University of Tokyo
* Radita Liem - RWTH Aachen University

###Program committee

* TBA.

### Keynote and Invited Speaker

* Michela Taufer - The University of Tennessee
* Kento Sato - RIKEN Center for Computational Science

### Publication

* Accepted papers will be published as proceedings, with ACM as the designated publisher.
* The submitted papers must be original work that have not previously been published or under consideration for publication in any other conference or journal.

## Venue

* The workshop will be held on January 26, 2026 in conjunction with SupercomputingAsia 2026 and the International Conference on High Performance Computing in Asia-Pacific Region 2026, Osaka, Japan.

## Contact

If you have any problems or questions, please contact the workshop co-chairs via e-mail at:
* zhu@uni-mainz.de, liem@itc.rwth-aachen.de, ohara803@g.ecc.u-tokyo.ac.jp