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CALL FOR PAPERS
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16th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures
*** FlexScience 2026 ***
Held in conjunction with ACM HPDC 2026
July 16, 2026
Cleveland, OH, USA
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https://sites.google.com/view/flexscience
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The 16th workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures (FlexScience) will provide the scientific community a dedicated forum for discussing new research, development, and deployment efforts in running scientific computing workloads that increasingly make use of agentic AI patterns in flexible ecosystems that favor elasticity and dynamicity, which is not sufficiently addressed by the current generation of supercomputers and dedicated data centers. As the boundaries between traditional simulation and modern artificial intelligence blur, FlexScience seeks to explore the architectural and algorithmic innovations required to support this convergence. We invite researchers and practitioners to submit original work addressing the challenges of orchestrating high-performance workloads across heterogeneous, distributed, and often volatile environments.
The FlexScience solicits high-quality 8-page full papers or 5-page short papers describing original research in the following areas:
TOPICS OF INTEREST:
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Complex workflows at the intersection of HPC, Big Data and AI
Agentic AI workflows (shared agentic memory, tool invocation using MCP, reasoning strategies, etc)
Experimental evaluations of porting HPC/AI applications to clouds and reconfigurable data centers
Techniques to federate workflows and resources across distributed data centers, HPC machines and the edge
Scalable, Secure and reliable federated learning in distributed environments (HPC systems, edge devices)
Elastic infrastructures that combine HPC data centers and/or clouds (bursting, data sharing)
Performance portability and related abstractions to hide the heterogeneity of resources
Scalability and fine-tuning of high-performance AI and deep learning frameworks for elastic use of resources (e.g., Tensorflow, PyTorch, Horovod on a variable number of GPUs.)
Virtualization, containers, and dynamic provisioning
Elastic I/O, storage and data management services and architectures (caching, prefetching, adaptations of building blocks such as NoSQL databases and parallel file systems, etc.)
AI data pipelines, AI model repositories, AI storage techniques (async checkpointing, incremental transfer learning with frozen weights, provenance metadata, etc.)
Scalable Inferences and model serving (retrieval augmented generation, batched inferences, KV caching, etc.)
Fault tolerance and reliability under dynamic provisioning of resources
Analysis of management complexity, cost, and variability of heterogeneous resources
SCHEDULE AND SUBMISSION PROCEDURE:
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Paper submission deadline: April 17th, 2026
Author notifications: May 6, 2026
Camera ready papers: May 16, 2026
Workshop date: July 16, 2026
Authors are invited to submit papers describing unpublished, original research. All submitted manuscripts should be formatted using the ACM Master Template with sigconf format (please be sure to use the current version). All necessary documentation can be found at: https://www.acm.org/publications/proceedings-template. Workshop papers can be either short (max 5 pages) or regular (max 8 pages). Both types will receive equal consideration. We use single-blind reviewing process, so please keep the authors names, publications, etc., in the text.
Papers conforming to these guidelines should be submitted through HotCRP: https://flexscience2026.hotcrp.com
WORKSHOP CHAIRS:
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Alexandru Costan, IRISA / INSA Rennes, France (alexandru.costan@irisa.fr)
Bogdan Nicolae, Argonne National Laboratory, USA (bogdan.nicolae@acm.org)
Kento Sato, RIKEN Center, Japan (kento.sato@riken.jp)
To contact the chairs, you can email any of the addresses listed above