[hpc-announce] SC21 Workshop: WORKS21 - 16th Workshop on Workflows in Support of Large-Scale Science (deadline extended)
Rafael Ferreira Da Silva
rafsilva at isi.edu
Mon Aug 9 16:16:20 CDT 2021
Call For Papers (Deadline Extension)
16th Workshop on Workflows in Support of Large-Scale Science (WORKS21)
to be held in conjunction with SC 2021 and in cooperation with IEEE TCHPC
November 15, 2021, St. Louise, MO, USA
Extended Hard Deadline: August 24, 2021
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.
WORKS21 will be held in conjunction with the SuperComputing (SC21), St. Louise, Missouri, USA, at St. Louis America’s Center .
WORKS21 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
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 1 page) describing a novel tool and or scientific workflow.
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 20-minute time slot (plus 5 minutes for questions) to provide a summary and update to their research work. Presenters of abstracts will be given a 10-minute time slot (including 3 minutes for questions) to present a novel tool or scientific workflow.
Full paper deadline: August 24, 2021 (EXTENDED hard deadline)
Paper acceptance notification: September 24, 2021
E-copyright registration completed by authors: October 1, 2021
Camera-ready deadline: October 1, 2021
Workshop: November 15, 2021
Full papers: Submissions are limited to 8 pages. The 8-page limit includes figures, tables, appendices, and references.
Abstracts: Submissions are limited to 1 page (not including references). The 1-page limit includes the description of a novel tool/science workflow, 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.
- Rafael Ferreira da Silva, University of Southern California, USA
- Rosa Filgueira, Heriot-Watt University, Edinburgh, UK
- 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
- Tainã Coleman, University of Southern California, USA
- Pinar Alper, King's College London, UK
- Rosa M. Badia, Barcelona Supercomputing Center, Spain
- Khalid Belhajjame, Universit. Paris-Dauphine, France
- Silvina Caino-Lores, University of Tennessee, USA
- Henri Casanova, University of Hawaii at Manoa, USA
- Kyle Chard, University of Chicago, USA
- Tainã Coleman, University of Southern California, USA
- Michael R. Crusoe, Common Workflow Language, Germany
- Paolo Di Tommaso, Seqera Labs, Spain
- Thomas Fahringer, University of Innsbruck, Austria
- Sandra Gesing, University of Chicago, USA
- Tristan Glatard, Concordia University, Canada
- Shantenu Jha, Rutgers University, USA
- Daniel S. Katz, University of Illinois at Urbana-Champaign, USA
- Maciej Malawski, AGH UST, Poland
- Anirban Mandal, RENCI, USA
- Raffaele Montella, University of Naples Parthenope, Italy
- Jayson Luc Peterson, Lawrence Livermore National Laboratory, USA
- Loïc Pottier, University of Southern California, USA
- Radu Prodan, University of Klagenfurt, Austria
- Lavanya Ramakrishnan, Lawrence Berkeley National Laboratory, USA
- Tong Shu, Southern Illinois University, USA
- Stian Soiland-Reys, University of Manchester, UK
- Renan Souza, IBM Research, Brazil
- Domenico Talia, University of Calabria, Italy
- Douglas Thain, University of Notre Dame, USA
- Matthew Wolf, Oak Ridge National Laboratory, USA
- Justin Wozniak, Argonne National Laboratory, USA
- Chase Q. Wu, New Jersey Institute of Technology, USA
Rafael Ferreira da Silva, Ph.D.
Research Assistant Professor, USC Computer Science Department
Research Lead, USC Information Sciences Institute
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