
To be held on March 01- 04, 2027 in conjunction with SupercomputingAsia 2027, Singapore


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.
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/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
Data movement in agentic workflows and agent-based systems
All authors should submit manuscripts for review in a single-column format. Manuscripts must be at most 12 pages (+ 4 additional pages) in PDF format including figures and references, formatted according to the ACM Proceedings Style.
Authors submitting papers for DREAM2027 must do so via the EasyChair submission web page.
We use single-blind reviewing process so you can keep authors' names, publications, etc.
The submitted papers must be original work that have not previously been published or under consideration for publication in any other conference or journal
SCA plans to provide an electronic proceedings publication for accepted workshop papers. In past years, SCA workshop papers have been published in ACM-affiliated proceedings.
Submission deadline: December 03, 2026 (EasyChair)
Notification to authors: December 20, 2026
Camera-ready submission: January 08, 2027
All authors should submit manuscripts for review in a single-column format.
Manuscripts must be at most 14 pages (+ 4 additional pages) in PDF format including figures and references, formatted according to the ACM Proceedings Style.
Authors submitting papers for DREAM2027 must do so via the EasyChair submission web page.
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 and LaTeX (Overleaf). For more details, please visit the Primary Article Templates page.
will be announced soon.
will be announced soon.
Welcome Message & Speed Introduction
Ryoma Ohara - The University of Tokyo
Radita Liem - RWTH Aachen University
Zhaobin Zhu - Johannes Gutenberg University Mainz
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
Andria Arisal - National Research and Innovation Agency, Indonesia
Suren Byna - The Ohio State University, USA
Worawan Diaz Carballo - Thammasat University, Thailand
Hariharan Devarajan – Lawrence Livermore National Laboratory, USA
Esmail Abdul Fattah - KAUST, Saudi Arabia
Lenny Guo – Pacific Northwest National Laboratory, USA
Andreas Henkel – Johannes Gutenberg-University Mainz, Germany
Jay Lofstead – Sandia National Laboratories, USA
Tiziano Müller - Hewlett Packard Enterprise
Sergey Noskov – Johannes Gutenberg-University Mainz, Germany
Ke Cui - RIKEN Center for Computational Science, Japan
Fumiyoshi Shoji - RIKEN Center for Computational Science, Japan
Nathan Tallent – Pacific Northwest National Laboratory, USA
Hoang Le Hai Thanh - HHCMC University of Technology, Vietnam
Wassapon Watanakeesuntorn - Osaka University
Chaiwat Wilasang - King Mongkut's University of Technology, Thailand
Keiji Yamamoto - RIKEN Center for Computational Science, Japan


If you have any problems or questions, please contact the workshop co-chairs via e-mail at:
ohara803@g.ecc.u-tokyo.ac.jp, rliem@uni-mainz.de, zhu@uni-mainz.de
© SCA - Dream Workshop 2027