[hpc-announce] CFP FlexScience 2023 - 13th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures - Held in conjunction with ACM HPDC 2023

Alexandru Costan alexandru.costan at irisa.fr
Wed Mar 15 10:08:06 CDT 2023




13th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures

***  FlexScience 2023  ***

Held in conjunction with ACM HPDC 2023

June 20, 2023

Orlando, Florida, United States




The 13th 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 1st, 2023

Author notifications: April 24 , 2023

Camera ready papers: May 1st, 2023

Workshop date: June 20, 2023

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. 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 (alexandru.costan at irisa.fr)

Bogdan Nicolae, Argonne National Laboratory, USA (bogdan.nicolae at acm.org)

Kento Sato, RIKEN Center, Japan (kento.sato at riken.jp)

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