SC13 Home > SC13 Schedule > SC13 Presentation - Prov-Vis: Large-Scale Scientific Data Visualization using Provenance

SCHEDULE: NOV 16-22, 2013

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Prov-Vis: Large-Scale Scientific Data Visualization using Provenance

SESSION: Research Poster Reception

EVENT TYPE: Posters, Electronic Posters, and Education Posters

TIME: 5:15PM - 7:00PM

AUTHOR(S):Felipe Horta, Jonas Dias, Renato Elias, Daniel Oliveira, Alvaro Coutinho, Marta Mattoso

ROOM:Mile High Pre-Function

Large-scale experiments on computational engineering and science rely on compute-intensive tasks chained through a dataflow. These experiments may be modeled as scientific workflows, to ease the experiment management and take advantage of provenance data. Monitoring workflow execution is the task of verifying the status of the execution at specific points to discover if anything odd has happened. Traversing provenance data at runtime can support this monitoring, so that users can just stop or re-execute some tasks. However, most of the workflow systems execute workflows in an offline way. Prov-Vis is a scientific data visualization tool for large-scale workflows that uses runtime provenance queries to organize and aggregate data helping to follow the steps of the workflow and the produced partial results. A parallel numerical simulation workflow was executed on a supercomputer while Prov-Vis displayed, on a tiled-wall, visualizations of simulation steps chosen based on runtime provenance queries.

Chair/Author Details:

Felipe Horta - COPPE/UFRJ

Jonas Dias - COPPE/UFRJ

Renato Elias - COPPE/UFRJ

Daniel Oliveira - Fluminense Federal University

Alvaro Coutinho - COPPE/UFRJ

Marta Mattoso - COPPE/UFRJ

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