Workflows that support experimental research activities largely feature the same general patterns and consist of the same general steps, referred to as paths or flows. DOE Office of Science user facilities.įinding the patterns underlying data analysis workflows Department of Energy’s (DOE) Argonne National Laboratory presented new techniques for automating inter-facility workflows-workflows such as those that involve transferring data obtained from beamlines at Argonne’s Advanced Photon Source (APS) to the Argonne Leadership Computing Facility (ALCF) resources for analysis-by identifying how to express their component processes in abstract terms that make the workflows reusable. However, new ways of implementing the automation of research processes are necessary to fully utilize the power of leading-edge computational and data technologies.Ī team of researchers at the U.S. As large-scale experiments generate an ever-increasing amount of scientific data, automating research tasks, such as data transfers and analysis, is critical to helping scientists sort through the results to make new discoveries.
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