21th Workshop on Workflows in Support of Large-Scale Science
November 15-20
Chicago, IL, USA
In conjunction with
Proceedings by
WORKS 2026 focuses on the many facets of scientific workflow composition, management, sustainability, and application to domain sciences in an increasingly diverse landscape. WORKS aims to serve as the central meeting point for all the stakeholders involved in the evolving workflows community, and to showcase the latest developments and emerging approaches in the field.
The workshop covers a broad range of topics in the scientific workflow lifecycle that include: reproducible research with workflows; workflow execution in distributed and heterogeneous environments; application of AI/ML in workflow management; workflow provenance; serverless workflows; exascale computing with workflows; stream-processing, interactive, adaptive and data-driven workflows; workflow scheduling and resource management; workflow fault-tolerance, debugging, performance analysis/modeling; big data and AI workflows; workflows integrating emerging computing, storage and networking technologies; etc.
WORKS'26 will be held in conjunction with the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC26) at the McCormick Place Convention Center in Chicago, Illinois (USA).
All deadlines are Anywhere on Earth (AoE).
Scientific workflows have underpinned some of the most significant discoveries of the past several decades. Workflow management systems (WMSs) provide abstraction and automation that enable researchers to easily define sophisticated computational processes, and to then execute them efficiently on parallel and distributed computing systems. As workflows have been adopted by multiple scientific communities, they are becoming more complex and require more sophisticated workflow management capabilities. A workflow can now analyze terabyte-scale data sets; execute millions of individual tasks; coordinate heterogeneous resources and tasks from edge to core; process near real-time data streams, files, and data placed in different types of storage systems; and incorporate AI agents for multiple purposes. The computations can be single core workloads, loosely-coupled tasks, or tightly-coupled computations, and can run in heterogeneous distributed computing platforms all within a single workflow.
The Workshop on Workflows in Support of Large-Scale Science (WORKS) focuses on the many facets of scientific workflow composition, management, sustainability, and application to domain sciences in an increasingly diverse and a rapidly evolving technology landscape. WORKS aims to serve as the central meeting point for all the stakeholders involved in the evolving workflows community, and to showcase the latest developments and emerging approaches in the field.
WORKS26 will be held in conjunction with the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC26) at the McCormick Place Convention Center in Chicago, Illinois (USA).
WORKS26 welcomes original submissions in a broad range of topics in the scientific workflow lifecycle, including but not limited to:
There will be two forms of presentations:
Full Papers will undergo a thorough, single blind review process. Each full paper will receive at least three reviews from experts in our Workshop Program Committee. Each full paper will be presented at the workshop, and be included in the SC Workshop Proceedings. Our committee will value efforts towards improving the reproducibility and transparency of the presented research. We encourage full paper submissions to include information about relevant software and data artifacts within the paper. Authors are also encouraged to make available online any products of their paper (e.g., simulators, graphs, experimental results, logs, etc.). However, dedicated Artifact Description (AD)/Artifact Evaluation (AE) appendices are not expected as part of the submission.
Abstracts will undergo a thorough, single blind review process and each will receive at least three reviews from experts in our Workshop Program Committee. Based on the content of the accepted abstracts, the Workshop Chairs will organize a Panel discussion during the workshop centered around the contributed topics. One author from each accepted abstract will participate in the panel discussion. Accepted abstracts will not be included in the SC Workshop Proceedings. Unlike some of the previous editions of WORKS, abstracts will not be compiled into a full paper.
Accepted full papers from the workshop will be published in the SC Workshops Proceedings volume, and made available online through IEEE Xplore.
Submissions are limited to 10 two-column pages (U.S. letter – 8.5″ x 11″), excluding the bibliography, using the IEEE proceedings template. The IEEE conference proceeding templates for LaTeX and MS Word provided by IEEE eXpress Conference Publishing are available for download in this link. To enhance the accessibility, accuracy, and longevity of references in all submitted manuscripts, authors are strongly encouraged to include Digital Object Identifiers (DOIs) for all cited works whenever available. Page limits include all figures, tables, references, and appendices.
Both Abstracts and Full Papers must be submitted through the official SC26 submission site
Submit Your Abstract or Paper
French Institute for Research in Computer Science and Automation (INRIA), France
Renaissance Computing Institute (RENCI), UNC Chapel Hill, USA
Apple, USA
University of Queensland, Australia
University of Edinburgh, UK
University of Southern California, USA
University of Tennessee, USA
Barcelona Supercomputing Center
Kettering University
Inria
University Carlos III of Madrid
University of Hawaii at Manoa
University Carlos III of Madrid
University of Torino
INSA Rennes
Fluminese Federal University
USC/ISI
Oak Ridge National Laboratory
University of Trento
San Diego Supercomputing Center
Oak Ridge National Laboratory
Argonne National Laboratory
National Center for Supercomputing Applications
Inria
Oak Ridge National Laboratory
AGH University of Krakow
RENCI
UFRJ
University of Naples Parthenope
IBM
Lawrence Livermore National Laboratory
University of Innsbruck
Inria
University of Innsbruck
Barcelona Supercomputing Center
Oak Ridge National Laboratory
Oak Ridge National Laboratory
University of Calabria
University of Notre Dame
RENCI
Oak Ridge National Laboratory
Argonne National Laboratory
For information please direct your inquiries to the workshop chairs: