[hpc-announce] [CFP] [Deadline 24th April] FlexScience at HPDC'22: 12th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures

Bogdan Nicolae bogdan.nicolae at acm.org
Tue Apr 19 20:42:29 CDT 2022

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,
- 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 24, 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:
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)

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

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