SCHEDULE: NOV 10-16, 2012
When viewing the Technical Program schedule, on the far righthand side is a column labeled "PLANNER." Use this planner to build your own schedule. Once you select an event and want to add it to your personal schedule, just click on the calendar icon of your choice (outlook calendar, ical calendar or google calendar) and that event will be stored there. As you select events in this manner, you will have your own schedule to guide you through the week.
Using Provenance to Visualize Data from Large-Scale Experiments
SESSION: Research Poster Reception
EVENT TYPE: Posters and Electronic Posters
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Torsten Hoefler
AUTHOR(S):Felipe Horta, Jonas Dias, Kary Ocaña, Daniel Oliveira, Eduardo Ogasawara, Marta Mattoso
ROOM:East Entrance
ABSTRACT:
Large-scale scientific computations are often organized as a composition of many computational tasks linked through data flow. The data that flows along this many-task computing often moves from a desktop to a high-performance environment and to a visualization environment. Keeping track of this data flow is a challenge to provenance support in high-performance Scientific Workflow Management Systems. After the completion of a computational scientific experiment, a scientist has to manually select and analyze its staged-out data, for instance, by checking inputs and outputs along computational tasks that were part of the experiment. In this paper, we present a provenance management system that describes the production and consumption relationships between data artifacts, such as files, and the computational tasks that compose the experiment. We propose a query interface that allows for scientists to browse provenance data and select the output they want to visualize using browsers or a high-resolution tiled display.
Chair/Author Details:
Torsten Hoefler (Chair) - ETH Zurich
Felipe Horta - Federal University of Rio de Janeiro
Jonas Dias - Federal University of Rio de Janeiro
Kary Ocaña - Federal University of Rio de Janeiro
Daniel Oliveira - Federal University of Rio de Janeiro
Eduardo Ogasawara - Federal Centers of Technological Education - Rio de Janeiro
Marta Mattoso - Federal University of Rio de Janeiro
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Using Provenance to Visualize Data from Large-Scale Experiments
SESSION: Research Poster Reception
EVENT TYPE:
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Torsten Hoefler
AUTHOR(S):Felipe Horta, Jonas Dias, Kary Ocaña, Daniel Oliveira, Eduardo Ogasawara, Marta Mattoso
ROOM:East Entrance
ABSTRACT:
Large-scale scientific computations are often organized as a composition of many computational tasks linked through data flow. The data that flows along this many-task computing often moves from a desktop to a high-performance environment and to a visualization environment. Keeping track of this data flow is a challenge to provenance support in high-performance Scientific Workflow Management Systems. After the completion of a computational scientific experiment, a scientist has to manually select and analyze its staged-out data, for instance, by checking inputs and outputs along computational tasks that were part of the experiment. In this paper, we present a provenance management system that describes the production and consumption relationships between data artifacts, such as files, and the computational tasks that compose the experiment. We propose a query interface that allows for scientists to browse provenance data and select the output they want to visualize using browsers or a high-resolution tiled display.
Chair/Author Details:
Torsten Hoefler (Chair) - ETH Zurich
Felipe Horta - Federal University of Rio de Janeiro
Jonas Dias - Federal University of Rio de Janeiro
Kary Ocaña - Federal University of Rio de Janeiro
Daniel Oliveira - Federal University of Rio de Janeiro
Eduardo Ogasawara - Federal Centers of Technological Education - Rio de Janeiro
Marta Mattoso - Federal University of Rio de Janeiro
Click here to download .ics calendar file