Category Archives: XSEDE

Tools For Astronomical Big Data

This week, I attended the Tools for Astronomical Big Data Workshop, held in Tucson from March 9 -11 and sponsored by NOAO. Over 100 practitioners gathered to “survey the present state of the art in addressing the challenges of conducting … Continue reading

Posted in astroinformatics, Astronomy, astronomy surveys, Catalogs, Cloud computing, cyberinfrastructure, Data Management, Data mining, databases, DBMS, Grid Computing, High performance computing, image mosaics, informatics, information sharing, Montage, Observatories, Parallelization, programming, Scientific computing, SDSS, social networking, software engineering, software maintenance, software sustainability, Uncategorized, user communities, visualization, XSEDE | Tagged , , , , , , , , , , , , , , , , , , | Leave a comment

How can we use HPC platforms to help dig out new exoplanets?

My colleague Peter Plavchan and  I wrote this lead article for the April 3 edition of International Science Grid This Week, where it appears as the lead article. We are living in the golden age of exoplanets — over 800 … Continue reading

Posted in archives, astroinformatics, Astronomy, astronomy surveys, Cloud computing, cyberinfrastructure, Data Management, education, exoplanets, Grid Computing, High performance computing, informatics, information sharing, Kepler, Parallelization, programming, software engineering, software maintenance, Time domain astronomy, time series data, Transiting exoplanets, XSEDE | Tagged , , , , , , , , , , , , , , , , , , , | Leave a comment

Journey to the Limits of Spacetime: Black Hole Simulations

In a powerful demonstration of the value of computation to modern astronomy, McKinney et al. (2013) used the resources of the Extreme Science and Engineering Discovery Environment (XSEDE) to perform 3D simulations of the behavior of black holes. These simulations … Continue reading

Posted in astroinformatics, Astronomy, Black Holes, computer modeling, computer videos, cyberinfrastructure, High performance computing, programming, XSEDE | Tagged , , , , , , , , , , , | Leave a comment

Hunting Exoplanets with Kepler and Big Computers!

The International Science Grid This Week posted a fascinating article on how high performance computing is being used to analyze time-series data sets from the Kepler mission.  Kepler’s primary goal is to determine the frequency of Earth-sized planets around other … Continue reading

Posted in Astronomy, astronomy surveys, cyberinfrastructure, Data Management, exoplanets, Grid Computing, High performance computing, information sharing, Kepler, Machine learning, Parallelization, programming, software engineering, software maintenance, Time domain astronomy, time series data, Transiting exoplanets, XSEDE | Tagged , , , , , , , , , , , , , , , , | Leave a comment

How To Use Cloud Computing To Do Astronomy

This is a talk I gave jointly with my colleague Ewa Deelman (ISI, USC) at Caltech on May 9. I have had a number of requests to post the slides, so I will do so here:  Cloud IPAC May 9 gbb … Continue reading

Posted in Astronomy, Cloud computing, cyberinfrastructure, earthquake science, exoplanets, High performance computing, image mosaics, information sharing, Parallelization, programming, software engineering, software sustainability, TeraGrid, time series data, Transiting exoplanets, XSEDE | Tagged , , , , , , , , , , , , , , | 1 Comment

The Architecture of the Pegasus Workflow Manager

Last week, I wrote about how the Pegasus workflow manager has helped us understand computational problems relating to the data tsunami in astronomy.  This week I will write about the underlying architecture of Pegasus. You can find more details at … Continue reading

Posted in climate modeling, Cloud computing, cyberinfrastructure, Data Management, Grid Computing, High performance computing, information sharing, Parallelization, programming, software engineering, software maintenance, software sustainability, TeraGrid, XSEDE | Tagged , , , , , , , , , | Leave a comment