Exploring Two Approaches for an End-to-End Scientific Analysis Workflow

Not scheduled
15m
OIST

OIST

1919-1 Tancha, Onna-son, Kunigami-gun Okinawa, Japan 904-0495
poster presentation Track4: Middleware, software development and tools, experiment frameworks, tools for distributed computing

Speaker

Dr Marc Paterno (Fermilab)

Description

The scientific discovery process can be advanced by the integration of independently-developed programs run on disparate computing facilities into coherent workflows usable by scientists who are not experts in computing. For such advancement, we need a system which scientists can use to formulate analysis workflows, to integrate new components to these workflows, and to execute different components on resources that are best suited to run those components. In addition, we need to monitor the status of the workflow as components get scheduled and executed, and to access the intermediate and final output for visual exploration and analysis. Finally, it is important for scientists to be able to share their workflows with collaborators. We are involved with a project to develop such an analysis framework for the Large Synoptic Survey Telescope (LSST) Dark Energy Science Collaboration (DESC). Following upon the development of several detailed use cases for LSST DESC, we have been working on two approaches for the framework; the first one is based on the use and extension of Galaxy, a web-based portal for biomedical research, and the second one is based on a programming language, Python. There are benefits to each approach as we discovered while implementing one example use case. Both approaches allow scientists to run complicated workflows that involve the use of a variety of computational resources (including grid resources, supercomputing resources at NERSC, and local compute nodes) for the execution of workflows on simulations of LSST images. Adding a new application in the Python-based workflow description is straight forward, however, adding new applications through the Galaxy interface requires expert knowledge of the Galaxy system and interaction with Galaxy infrastructure. In this paper, we present a brief description of the two approaches, describe the kinds of extensions to the Galaxy system we have found necessary in order to support the wide variety of scientific analysis in the cosmology community, and discuss how similar efforts might be of benefit to the HEP community.

Primary author

Saba Sehrish (urn:Google)

Co-authors

Jim Kowalkowski (Fermilab) Dr Marc Paterno (Fermilab)

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