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FlexScience 2022 : 12th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures


When Jul 1, 2022 - Jul 1, 2022
Where Minneapolis, Minnesota, USA
Submission Deadline Apr 24, 2022
Notification Due May 4, 2022
Final Version Due May 11, 2022
Categories    HPC   cloud computing   distributed systems   AI

Call For Papers

12th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures
*** FlexScience (formerly ScienceCloud) 2022 ***
Held in conjunction with ACM HPDC 2022
July 1, 2022
Minneapolis, Minnesota, United States
The 12th 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 in such flexible ecosystems, across the Computing Continuum, focusing on emerging technologies and new convergence challenges that are not sufficiently addressed by the current generation of supercomputers and dedicated data centers. The workshop aims to address questions such as: what architectural changes to existing frameworks (hardware, operating systems, networking and/or programming models) are needed to support flexible computing? Dynamic information derived from remote instruments, coupled simulations, and sensor ensembles that stream data for real-time analysis and machine learning are important emerging trends. How can we leverage and adapt to these patterns? What scientific workloads are suitable candidates to take advantage of heterogeneity, elasticity and/or on-demand resources? What factors are limiting the adoption of a flexible design?

The FlexScience workshop solicits high-quality 8-page and 4-page publications describing original research in the following areas.

- Complex workflows at the intersection of HPC, Big Data and AI
- Experimental evaluations of porting HPC/AI applications to clouds
- Hybrid clouds that combine HPC data centers with public clouds in various scenarios (bursting, data sharing)
- Interplay between Edge, Fog and Hybrid Clouds
- Performance portability and related abstractions to hide the heterogeneity of resources
- RRR (Robustness, Reconfigurability, Reproducibility) of complex workflows
- Implementation and fine-tuning of high-performance AI and deep learning frameworks for clouds (e.g., Tensorflow, PyTorch, Horovod, etc.)
- Scalability and cost-effective elasticity of AI and deep learning (e.g. data-parallel training) for cloud infrastructures
- Virtualization, containers, and dynamic provisioning
- Scalable and elastic cloud/HPC storage and I/O data management services and architectures
- Data-intensive workloads and tools (e.g. caching) in clouds
- Use of popular cloud building blocks (e.g., NoSQL databases) for scientific applications
- Fault tolerance and reliability in cloud systems
- Analysis of management complexity, cost, variability of cloud and IoT environments

Paper submission deadline: April 15, 2022
Author notifications: May 4, 2022
Camera ready papers: May 11, 2022
Workshop date: July 1st, 2022

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: The maximum lengths are 8 and 4 pages (including all text, figures, and references). All papers must be in English. We use single-blind reviewing process, so please keep the authors names, publications, etc., in the text. Papers will be peer-reviewed, and accepted papers will be published in the workshop proceedings as part of the ACM Digital Library.
Papers conforming to these guidelines should be submitted through EasyChair:

Alexandru Costan, IRISA / INSA Rennes, France (
Bogdan Nicolae, Argonne National Laboratory, USA (
Kento Sato, RIKEN Center, Japan (

To contact the chairs, you can email any of the addresses listed above

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