Automate
The scientific computational work as portable workflows. Automatically locates the necessary input data and computational resources, and manages storage space for executing data-intensive workflows on storage-constrained resources. Learn more.
Recover
From failures at runtime (fault-tolerance). Task are automatically retried in the presence of errors. A rescue workflow containing a description of only the work that remains is provided. Provenance is also captured (data, software, parameters, etc.). Learn more.
Debug
Failures in computations using a set of system provided debugging tools and an online workflow monitoring dashboard. Learn more.
Pegasus powers LIGO gravitational wave detection analysis
The Pegasus team is very happy to hear about LIGO’s incredible discovery: the first detection of gravitational waves from colliding black holes. We congratulate the entire LIGO Scientific Collaboration and the Virgo Collaboration on this incredible achievement.
The Pegasus team is very pleased to have contributed to LIGO’s software infrastructure. One of the main analysis pipelines used by LIGO to detect the gravitational wave was executed using Pegasus Workflow Management System (WMS). The PyCBC analysis pipeline analyzed data from the two LIGO detectors. Initially the analysis was managed by Pegasus WMS on the LIGO Data Grid. LIGO extended their computations to the nation-wide cyber-infrastructures, Open Science Grid and XSEDE. Pegasus aided this expansion by managing cross-site data transfers and computations in a reliable, scalable, and efficient manner. Pegasus enables LIGO researchers to easily monitor and analyze their workflows via a web based dashboard, and a suite of command line tools.
Additional Information:
Pegasus in 5 Minutes
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.
