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Ewa Deelman

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Bio

Ewa Deelman received her PhD in Computer Science from the Rensselaer Polytechnic Institute in 1998. Following a postdoc at the UCLA Computer Science Department she joined the University of Southern California’s Information Sciences Institute (ISI) in 2000, where she is serving as a Research Director and is leading the Science Automation Technologies group. She is also a Research Professor at the USC Computer Science Department and an AAAS and IEEE Fellow.

The USC/ISI Science Automation Technologies group explores the interplay between automation and the management of scientific workflows that include resource provisioning and data management. She pioneered workflow planning for computations executing in distributed environments. Her group has lead the design and development of the Pegasus Workflow Management software and conducts research in job scheduling and resource provisioning in distributed systems, workflow performance modeling, provenance capture, and the use of cloud platforms for science.  In 2006 she founded the Workshop on Workflows in Support of Large-Scale Science, which is held annually in conjunction with the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC) conference.

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Keynote – Multicore World 2020

Title:

The Pegasus Workflow Management System: Current Applications and Future Directions

Ewa Deelman, University of Southern California, Information Sciences Institute

Date: TBC

Abstract:

The Pegasus Workflow Management System is designed to meet the needs of a wide variety of scientific applications. It automates the execution of complex and large-scale workflow task graphs operating on large amounts of data.  Since 2001 Pegasus has been working with a number of applications such as LIGO, the gravitational-wave physics experiment, to enable them to accomplish their scientific goals. In 2016, Pegasus was used by LIGO to analyze their experimental data, confirming the first ever direct detection of a gravitational wave. Pegasus also delivers robust automation capabilities to researchers at the Southern California Earthquake Center (SCEC) studying seismic phenomena, to astronomers seeking to understand the structure of the universe, to material scientists developing new drug delivery methods, and to students seeking to understand human population migration.  An example of societal impact is SCEC’s use of Pegasus to generate the world’s first physics-based probabilistic seismic hazard map that provides insight into why earthquakes in the Los Angeles basin can be so destructive. This information can inform civil engineering practices in the area.

This talk focuses on the current Pegasus capabilities and describes new research directions that will inform future Pegasus development.

 

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Pegasus Workflow Management System

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