Predicting Flash Floods in the Dallas-Fort Worth Metroplex Using Pegasus

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Authors: Eric Lyons (University of Massachusetts at Amherst), Dong-Jun Seo (University of Texas Arlington), Sunghee Kim (University of Texas Arlington), Hamideh Habibi (University of Texas Arlington), George Papadimitriou (USC – Information Sciences Institute), Ryan Tanaka (USC – Information Sciences Institute) Research Distributed Hydrologic Model A collaborative effort of several National … Read More

PUG 2021 Followup

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PUG 2021 was a success! We had great user community engagement throughout the two-day event via Zoom and Slack. Thank you to all those who gave presentations and attended – you have all contributed to the improving Pegasus in more ways than one. In case you missed a session or … Read More

Astronomical Image Processing in the Cloud

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Author: Dino Bektešević, University of Washington, LSST/Rubin Observatory project Overview In 2020 the Data Intensive Research in Astrophysics and Cosmology institute (DIRAC), University of Washington (WA) Astronomy Department, Legacy Survey of Space and Time (LSST) and Amazon Web Services (AWS) joined forces to develop a proof-of-concept (PoC) leveraging cloud resources … Read More

Pegasus and AtlanticWave-SDX Help Orchestrating Science Applications

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Many new technologies and new paradigms are emerging in the research community to support science workflows, including the use of Data Transfer Nodes (DTNs), distributed compute and data infrastructure, research testbeds, and new inter-domain federated orchestrators. Workflow management systems (WMS), like Pegasus, are evolving to be more resource aware in … Read More

Pegasus 5.0 Released

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We are happy to announce the release of Pegasus 5.0. Pegasus 5.0 is be a major release of Pegasus and builds upon the beta version released couple of months back. It also includes all features and bug fixes from the 4.9 branch. We invite our users to give it a … Read More

Pegasus in 5 Minutes

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In this quick 5 minute presentation, the Pegasus team gives you an introduction into the Pegasus Workflow Management System. We give a rundown on how Pegasus workflows are created, compiled for your execution environment, and then executed on distributed resources.

My Summer Research Internship at SciTech Lab

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Note the author: Kelsie Lam is a senior at Mission San Jose High School. She is a SciTech research intern interested in artificial intelligence and cognitive science. In the lab, Kelsie investigates how scientists use machine learning methods to support their research and works on developing workflows. Github: https://github.com/kelsielam During … Read More

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