[hpc-announce] (Call For Participation) [SC20]  WORKS20: 15th Workflows in Support of Large-Scale Science Workshop

Rafael Ferreira Da Silva rafsilva at isi.edu
Tue Nov 3 14:16:57 CST 2020

Call For Participation

15th Workshop on Workflows in Support of Large-Scale Science (WORKS20)

to be held in conjunction with SC 2020 and in cooperation with IEEE TCHPC
November 11, 2020 - 10:00am-5:30pm EST


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.


10:00 AM EST - Welcome
                             Rosa Filgueira, Rafael Ferreira da Silva

10:10 AM EST - Keynote: In Situ Data Analytics for Next Generation Molecular Dynamics Workflows
                            Dr. Michela Taufer

11:00 AM EST - Break

11:30 AM EST - Runtime vs Scheduler: Analyzing Dask's Overheads
                            Stanislav Böhm, Jakub Beránek

12:00 PM EST - Workflow Generation with wfGenes
                             Mehdi Roozmeh, Ivan Kondov

12:30 PM EST - Break

1:00 PM EST  - Supercomputing with MPI Meets the CommonWorkflow Language Standards: An Experience Report
                            Rupert W. Nash, Nick Brown, Michael R. Crusoe, Max Kontak

1:30 PM EST  - Applying workflows to scientific projects represented in file system directory tree
                           Mieszko Makuch, Maciej Malawski, Joanna Kocot, Tomasz Szepieniec

2:00 PM EST  - Break

2:30 PM EST  - Adaptive Optimizations for Stream-based Workflows
                           Liang Liang, Rosa Filgueira, Yan Yan

3:00 PM EST  - Enabling Discoverable Trusted Services for Highly Dynamic Decentralized Workflows
                           Iain Barclay, Chris Simpkin, Graham Bent, Tom La Porta, Declan Millar, Alun Preece, Ian Taylor, Dinesh Verma

3:30 PM EST  - Break

4:00 PM EST  - WorkflowHub: Community Framework for Enabling Scientific Workflow Research and Development
                            Rafael Ferreira da Silva, Loic Pottier, Taina Coleman, Ewa Deelman, Henri Casanova

4:30 PM EST  - Characterizing Scientific Workflows on HPC Systems using Logs
                           Devarshi Ghoshal, Brian Austin, Deborah Bard, Christopher Daley, Glenn Lockwood, Nicholas J. Wright, Lavanya Ramakrishnan

5:00 PM EST  - Closing thoughts and next steps; moving forward together
                           Rafael Ferreira da Silva, Rosa Filgueira


Thank you,
Rafael Ferreira da Silva, University of Southern California, USA
Rosa Filgueira, University of Edinburgh, UK

Rafael Ferreira da Silva, Ph.D.
Research Assistant Professor, USC Computer Science Department
Research Lead, USC Information Sciences Institute

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