Call for Papers Submission

High-performance computing (HPC) plays a crucial role in tackling large and complex problems in science, engineering, and business by employing efficient algorithms, applications, systems, and software for massively parallel and distributed computing systems. This year we combine SCAsia (SCA) and The International Conference on High Performance Computing in the Asia-Pacific Region (HPC Asia) into one conference to be a premier forum for disseminating and discussing research and practice across all aspects of high-performance computing systems and applications. We solicit original contributions, all of which undergo rigorous peer review. Specific topics of interest include but are not limited to the following research tracks below.

SCA/HPCAsia 2026 will be held in Osaka, the heart of the Kansi region in Japan, providing opportunities for the HPC community to share ideas, experiences, and solutions in a deep, vertical manner with the involvement of the HPC industry.

We gladly welcome abstract submissions until the paper submission deadline. To ensure a smooth process, please submit both abstracts and papers before the specified deadline.

Submission Timeline

• [Papers] Abstract Due 29 August 2025 (AoE)
• [Papers] Submission Due 05 September 2025 (AoE)
• [Papers] Notice of Acceptance 20 October 2025 (AoE)
• [Papers] Camera-ready Paper Due 15 December 2025 (AoE)
• Conference 26-29 January 2026

SCA/HPCAsia 2026 consists of 5 Tracks:

1. APPLICATIONS & ALGORITHMS
   • High performance applications (high speed, low memory, low power simulations)
   • Computational science
   • Numerical linear algebra and its applications
   • High performance library and software framework for applications
   • Parallel and vectorization algorithms
   • Hybrid/heterogeneous/accelerated algorithms
   • Fault-tolerant algorithms
   • Graph algorithms
2. ARCHITECTURES & NETWORKS
   • Processor architecture advancements
   • Accelerator technologies (GPUs, FPGAs, ASICs)
   • Network architecture and interconnects
   • Memory hierarchy and management
   • Energy-efficient processor and accelerator design
   • Dependable and fault-tolerant architectures
   • Emerging processor and network technologies
   • Integration of new technologies in processor and network design
3. MACHINE LEARNING, AI, and EMERGING TECHNOLOIES
   • Machine learning algorithms and applications
   • Deep learning techniques and frameworks
   • AI integration in HPC
   • Emerging technologies (quantum computing, neuromorphic computing, etc.)
   • AI ethics and bias
   • AI-driven data analytics
   • Real-world AI applications in various industries
   • Future trends in AI and emerging technologies
4. PROGRAMMING MODELS & SYSTEM SOFTWARE
   • Programming languages and compilation techniques
   • Tools and libraries for performance and productivity
   • Performance portability
   • System management, resource management and scheduler
   • Optimization for communication and memory
   • Techniques for testing, debugging, reproducibility and determinism
   • Techniques for fault tolerance and energy efficiency
5. DATA, STORAGE & VISUALIZATION
   • Big data processing and analytics
   • Distributed and parallel file systems
   • Storage architectures and systems
   • Data visualization techniques
   • Data provenance and traceability
   • High-performance I/O and storage optimization
   • Visualization and image processing in HP

Online Submission System

Authors submitting papers for SCA/HPCAsia 2026 must do so via the Online Submission System. Authors are invited to submit technical papers of no more than 18 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 or journal. 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 18 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://www.acm.org/publications/authors/submissions. Please note that there are two different instructions for Word and LaTeX template users.

ACM Templates

• Word (docx) download
• LaTex (zip) download
  use a “manuscript” format option (Please refer to sample/sample-manuscript.tex).
• Overleaf
  use a “manuscript” format option.

For more details, please visit the Primary Article Templates page.

Proceedings

The papers that have been accepted for SCA/HPCAsia 2026 will be published as proceedings, with ACM as the designated publisher.

Please note that ACM has made a substantial change to their publication policies from 2024. Authors of articles from conferences published Open Access (OA) in the ACM Digital Library will have to pay for paper processing charge (APC). Please check out https://www.acm.org/publications/icps/author-guidance for details.

However, if your institution is a member of the ACM Open program, the paper will be published with no charge , as indicated on the web site. The list of participating institutions of ACM Open can be viewed https://libraries.acm.org/acmopen/open-participants.

** Important note to authors about the new ACM open access publishing model **
ACM has introduced a new open access publishing model for the International Conference Proceedings Series (ICPS). Authors based at institutions that are not yet part of the ACM Open program and do not qualify for a waiver will be required to pay an article processing charge (APC) to publish their ICPS article in the ACM Digital Library. To determine whether or not an APC will be applicable to your article, please follow the detailed guidance here: https://www.acm.org/publications/icps/author-guidance

Full details of the new ICPS publishing model: https://www.acm.org/publications/icps/faq

Full details of the ACM Open program: https://www.acm.org/publications/openaccess

Please direct all questions about the new model to icps-info [at] acm.org

Technical Program Committee

APPLICATIONS & ALGORITHMS

Track Chair: Koji Nishiguchi, Nagoya University/RIKEN

Members:

• Rahul Bale, RIKEN
• Akash Dhruv, ANL
• Anshu Dubey, ANL
• Muneo Hori, Japan Agency for Marine-Earth Science and Technology
• Tetsuya Hoshino, Nagoya University
• Satoshi Ii, Institute of Science Tokyo
• Niclas Jansson, KTH
• Takahiro Katagiri, Nagoya University
• Kai Keller, Barcelona Supercomputing Center
• ChungGang Li, National Cheng Kung University
• Andreas Lintermann, Jülich Supercomputing Centre
• Peter Ohm, RIKEN
• Satoshi Ohshima, Kyushu University
• Takashi Shimokawabe, The University of Tokyo
• Houjun Tang, LBNL
• Orcun Yildiz, ANL

ARCHITECTURES & NETWORKS

Track Chair: Artur Podobas, KTH

Members:

• Jens Domke, RIKEN
• Ryusuke Egawa, Tokyo Denki University
• Ryan Grant, Queen's University
• Daniel Jimenez-Gonzalez, Universitat Politecnica de Catalunya-BarcelonaTech, Barcelona Supercomputing Center-CNS
• George Michelogiannakis, Lawrence Berkeley National Laboratory
• Takaaki Miyajima, Meiji University
• Miquel Pericas, Chalmers University of Technology
• Takano Ryousei, AIST
• Ryota Shioya, The University of Tokyo

MACHINE LEARNING, AI, and EMERGING TECHNOLOIES

Track Chair: Tao Luo, A*STAR

Members:

• Yao Chen, National University of Sinagpore
• Peng Chen, RIKEN
• Zhe Lin, Sun Yat-sen University
• Zhaojie Niu, Bytedance
• Miwako Tsuji, RIKEN
• Haojie Wang, Tsinghua University
• Chen Wang, Lawrence Livermore National Laboratory
• Zhehui Wang, Institute of High Performance Computing
• Xiao Wang, Oak Ridge National Laboratory
• Liwei Yang, Institute of High Performance Computing

PROGRAMMING MODELS & SYSTEM SOFTWARE

Track Chair: James Lin, SJTU

Members:

• Sunita Chandrasekaran, University of Delaware
• Shenggan Cheng, National University of Singapore
• Toshio Endo, Science Tokyo
• Chun Fan, Peking University
• Scott Klasky, Oak Ridge National Laboratory
• Yao Liu, East China Normal University
• Weifeng Liu, China University of Petroleum-Beijing
• Hatem Ltaief, King Abdullah University of Science and Technology
• Naoya Maruyama, NVIDIA
• Akira Nukada, University of Tsukuba
• Hoon Ryu, Korea Institute of Science and Technology Information
• Kento Sato, RIKEN
• Min Si, Meta
• Filippo Spiga, NVIDIA
• Bingqiang Wang, Pengchen Lab
• Sun Yue, National Computational Infrastructure Australia

DATA, STORAGE & VISUALIZATION

Track Chair: Xiaoyi Lu, UC Merced

Members:

• Suren Byna, Ohio State University
• Weicong Chen, Case Western Reserve University
• Sheng Di, Argonne National Laboratory
• Youngjae Kim, Sogang University
• Jay Lofstead, Sandia National Laboratory
• Bogdan Nicolae, Argonne National Laboratory
• Xiaodong Yu, Stevens Institute of Technology
• Zhaorui Zhang, The Hong Kong Polytechnic University

Contact

Please contact the Program Chairs at sca_hpca_26_pap [at] sighpc.ipsj.or.jp for any questions/clarifications about Call for Paper (CFP).

For queries on Papers – please indicate “< PAPERS>” at the start of your Subject heading of your email.