[Call for WiP Papers] PDSW 2026 @ SC26 - Deadline September 11th, 2026

--------------------------------------------------------------------------
The 11th International Parallel Data Systems Workshop (PDSW'26)
--------------------------------------------------------------------------
 
PDSW 2026 website: https://www.pdsw.org/
 
WIP Submissions due: September 11th, 2026, 11:59 PM AoE (final extension)
WIP Notifications: September 21st, 2026, 11:59 PM AoE
Workshop day: Monday, Nov 16th, 2026 (all day)
 
Submissions website: https://submissions.supercomputing.org/
 
We are excited to announce the 11th International Parallel Data Systems Workshop (PDSW'26), to be held in conjunction with SC26: The International Conference for High Performance Computing, Networking, Storage, and Analysis, in Chicago, IL. PDSW'26 builds upon the rich legacy of its predecessor workshops, the Petascale Data Storage Workshop (PDSW, 2006–2015) and the Data Intensive Scalable Computing Systems (DISCS, 2012–2015) workshop.
 
The Work-in-Progress (WIP) session will feature brief, five-minute presentations of ongoing research that may not yet be ready for submission as a full paper.

WIP abstracts will not be included in the conference proceedings but will be made available through an archival service after the event. To participate, authors must submit a one-page abstract (excluding references) using the IEEE conference paper template: https://www.ieee.org/conferences/publishing/templates.

Submit your WIP abstract by September 11, 2026, 11:59 PM AoE at https://submissions.supercomputing.org/
 
-----------------------------
Topics of Interest
-----------------------------
 
- Scalable Architectures: Distributed data storage, archival, and virtualization. 
- New Data Processing Models and Algorithms: Application of innovative data processing models and algorithms for parallel computing and analysis. 
- Performance Analysis: Benchmarking, resource management, and workload studies. 
- Cloud and Container-Based Models: Enabling cloud and container-based frameworks for large-scale data analysis. 
- Storage Technologies: Adaptation to emerging hardware and computing models.  
- Data Integrity: Techniques to ensure data integrity, availability, reliability, and fault tolerance. 
- Programming Models and Frameworks: Big data solutions for data-intensive computing. 
- Hybrid Cloud Data Processing: Integration of hybrid cloud and on-premise data processing. 
- Cloud-Specific Opportunities: Data storage and transit opportunities specific to cloud computing. 
- Storage System Programmability: Enhancing programmability in storage systems.  
- Data Reduction Techniques: Filtering, compression, and reduction techniques for large-scale data. 
- File and Metadata Management: Parallel file systems, metadata management at scale. 
- In-Situ and In-Transit Processing: Integrating computation into the memory and storage hierarchy for in-situ and in-transit data processing. 
- Alternative Storage Models: Object stores, key-value stores, and other data storage models. 
- Productivity Tools: Tools for data-intensive computing, data mining, and knowledge discovery. 
- Data Movement: Managing data movement between compute and data-intensive components. 
- Cross-Cloud Data Management: Efficient data management across different cloud environments. 
- AI-enhanced Systems: Storage system optimization and data analytics using machine learning. 
- New Memory and Storage Systems: Innovative techniques and performance evaluation for new memory and storage systems.
- AI and Agentic related data management: tools and techniques necessary to support AI workloads and Agentic AI data analytics for online decision making.
 
More details are available at: https://www.pdsw.org/
 
-----------------------------
Organization Team
-----------------------------
 
General Chair:
Jay Lofstead
Sandia National Laboratories, USA
 
Program Co-Chairs:
Sarah Neuwirth
Johannes Gutenberg University Mainz, Germany

Lipeng Wan
Georgia State University, USA
 
Reproducibility Chair:
Ricardo Macedo
INESC TEC & University of Minho, Portugal

Publicity Chair:
Radita Liem
Johannes Gutenberg University Mainz, Germany
 
Web & Publications Chair:
Joan Digney
Carnegie Mellon University, USA
**********************************************************
*
*   Contributions to be spread via DMANET are submitted to
*
*                   [email protected]
*
*   Replies to a  message carried  on DMANET should NOT be
*   addressed to DMANET  but to  the original sender.  The
*   original  sender,  however,  is invited  to prepare an
*   update  of the replies  received and to communicate it
*   via DMANET.
*
*    DISCRETE MATHEMATICS AND ALGORITHMS NETWORK (DMANET)
*      http://www.zaik.uni-koeln.de/AFS/publications/dmanet/
*
**********************************************************