[hpc-announce] WORKS 2022 @ SC22: Call for Papers
Ferreira da Silva, Rafael
silvarf at ornl.gov
Tue Apr 26 20:38:25 CDT 2022
Call For Papers
17th Workshop on Workflows in Support of Large-Scale Science (WORKS22)
to be held in conjunction with SC 2022
November 14, 2022, Dallas, Texas, USA
Full paper and abstract deadline: August 15, 2022
Scientific workflows have been almost universally used across scientific domains and have underpinned some of the most significant discoveries of the past several decades. Workflow management systems (WMSs) provide abstraction and automation which enable a broad range of 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 a number of scientific communities, they are becoming more complex and require more sophisticated workflow management capabilities. A workflow now can analyze terabyte-scale data sets, be composed of one million individual tasks, require coordination between heterogeneous tasks, manage tasks that execute for milliseconds to hours, and can process data streams, files, and data placed in object stores. The computations can be single core workloads, loosely coupled computations, or tightly all within a single workflow, and can run in dispersed computing platforms.
This workshop focuses on the many facets of scientific workflow management systems, ranging from actual execution to service management and the coordination and optimization of data, service, and job dependencies. The workshop covers a broad range of issues in the scientific workflow lifecycle that include: scientific workflows representation and enactment; workflow scheduling techniques to optimize the execution of the workflow on heterogeneous infrastructures; workflow enactment engines that need to deal with failures in the application and execution environment; and a number of computer science problems related to scientific workflows such as semantic technologies, compiler methods, scheduling and fault detection and tolerance.
WORKS22 will be held in conjunction with the SuperComputing (SC22), Dallas, Texas, USA, at Kay Bailey Hutchison Convention Center Dallas.
WORKS22 welcomes original submissions in a range of areas, including but not limited to:
- Big Data analytics workflows, AI workflows
- Data-driven workflow processing, stream-based workflows
- Workflow composition, tools, orchestrators, and languages
- Workflow execution in distributed environments (including HPC, clouds, and grids)
- FAIR computational workflows
- Dynamic data dependent workflow systems solutions
- Exascale computing with workflows
- In Situ Data Analytics Workflows
- Human-in-the-loop workflows
- Workflow fault-tolerance and recovery techniques
- Workflow user environments, including portals
- Workflow applications and their requirements
- Adaptive workflows
- Workflow optimizations (including scheduling and energy efficiency)
- Performance analysis of workflows
- Workflow provenance
- Registers for workflows
- Serverless workflows and serverless orchestration
There will be two forms of presentations:
* Talks - Full papers (up to 8 pages) describing a research contribution in the topics listed above.
* Lightning Talks - Abstracts (up to 2 pages) describing a novel tool, scientific workflow, or concept.
Submission of a full paper may result in a talk, submission of an abstract may result in a lightning talk. Presenters of full papers will be given a 13-minute time slot (plus 2 minutes for questions) to provide a summary and update to their research work. Presenters of abstracts will be given a 5-minute time slot (including 3 minutes for questions) to present a novel tool or a scientific workflow.
Best (full) Paper Award:
The best paper award will be granted to the best scientific contribution presented during WORKS22 among all full papers contributions. Our programme committee will judge all contributions and decide for this Best Paper Award. And the result will be announced at WORKS22.
Full paper deadline: August 15, 2022
Paper acceptance notification: September 26, 2022
E-copyright registration completed by authors: October 1, 2022
Camera-ready deadline: October 3, 2022
Workshop: November 14, 2022 (TBC)
Full papers: Submissions are limited to 8 pages. The 8-page limit includes figures, tables, appendices, and references.
Abstracts: Submissions are limited to 2 pages (including references). The 2-pages limit includes the description of a novel tool/science workflow/concept, and a link of a repository in which the novel source-code of the tool is stored. This repository will need to specify all the instructions necessary to execute the tool, so reviewers can test it. Abstracts will be compiled into a single paper and published as part of the workshop proceedings.
All submitted papers (full papers and abstracts) will undergo a rigorous review process and each will have at least three reviews by members of the program committee. Papers will be accepted based on their technical contributions.
- Rosa Filgueira, University of St Andrews, St Andrews, UK
- Rafael Ferreira da Silva, Oak Ridge National Laboratory, USA
- Ian Taylor, Cardiff University, UK, University of Notre Dame, USA
- David Abramson, University of Queensland, Australia
- Malcolm Atkinson, University of Edinburgh, UK
- Ewa Deelman, University of Southern California, USA
- Michela Taufer, University of Tennessee
- Rosa M. Badia, Barcelona Supercomputing Center, Spain
- Henri Casanova, University of Hawaii at Manoa, USA
- Tainã Coleman, University of Southern California, USA
- Michael R. Crusoe, Common Workflow Language, Germany
- Frank Di Natale, Nvidia, USA
- Paolo Di Tommaso, Seqera Labs, Spain
- Thomas Fahringer, University of Innsbruck, Austria
- Daniel Garijo, Universidad Politécnica de Madrid, Spain
- Sandra Gesing, University of Chicago, USA
- Daniel S. Katz, University of Illinois at Urbana-Champaign, USA
- Ketan C. Maheshwari, Oak Ridge National Laboratory, USA
- Maciej Malawski, AGH UST, Poland
- Marta Mattoso, UFRJ, Brazil
- Raffaele Montella, University of Naples Parthenope, Italy
- Daniel de Oliveira, UFF, Brazil
- J. Luc Peterson, Lawrence Livermore National Laboratory, USA
- Lavanya Ramakrishnan, Lawrence Berkeley National Laboratory, USA
- Frédéric Suter, Oak Ridge National Laboratory, USA
- Douglas Thain, University of Notre Dame, USA
- Sean R. Wilkinson, Oak Ridge National Laboratory, USA
- Justin Wozniak, Argonne National Laboratory, USA
Rafael Ferreira da Silva, Ph.D.
Senior Research Scientist - Data Lifecycle and Scalable Workflows
National Center for Computational Sciences
Oak Ridge National Laboratory
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