AMP was developed by scientists at the High Altitude Observatory (HAO) and the Computational and Information Systems Laboratory (CISL) of the National Center for Atmospheric Research (NCAR).
- Funding to develop and validate the asteroseismology science code was provided by NASA grant NNX09AE59G (PI: Metcalfe).
- Computational time at NCAR was provided by NSF MRI Grant #CNS-0421498, NSF MRI Grant #CNS-0420873, NSF MRI Grant #CNS-0420985, NSF sponsorship of the National Center for Atmospheric Research, the University of Colorado, and a grant from the IBM Shared University Research (SUR) program.
- Computational time at NICS was provided by XSEDE allocation TG-AST090107.
- Funding to integrate AMP with XSEDE resources was provided by the XSEDE Advanced Support Program.
- Since 2013, AMP has been hosted by the Stellar Astrophysics Centre, at Aarhus University in Denmark.
Astronomical Catalog Service
- Astronomical catalog data is provided by the SIMBAD Astronomical Database operated at CDS, Strasbourg, France.
- The AMP website uses the Django Python Web development framework with the Apache web server and a PostgreSQL database.
- The AMP back-end processing system uses Grid technologies provided by the Globus Toolkit. Remote computational jobs are submitted using WS-GRAM and file transfers are performed using GridFTP. The workflow control daemon is written in Python using Django framework components.
- Visualizations are rendered using Matplotlib, a Python plotting library.
- Thanks to Nancy Wilkins-Diehr at SDSC for her assistance turning AMP into a XSEDE Science Gateway.
- Thanks to Michael Oberg at NCAR for preparing the virtualized NCAR XSEDE Service Hosting Platform used to host AMP and GridAMP.
- Thanks to Haiying Xu and Michael Glad for facilitating the transfer of AMP and GridAMP from NCAR to Aarhus University.
- Thanks to Stu Martin for his assistance with Globus GRAM.
- Thanks to Tom Scavo for helping with GridShib. Our first GRAM job used GridShib!
- Thanks to Margaret Murray at TACC for her assistance with getting started on TACC Ranger and LoneStar.