Title :
AVU-GSR Gaia Mission: A Hybrid Solution for HPC and Grid-MPI Infrastructures
Author :
Bandieramonte, M. ; Becciani, U. ; Vecchiato, A. ; Lattanzi, M. ; Bucciarelli, B.
Author_Institution :
Dept. of Phys. & Astron., Univ. of Catania, Catania, Italy
Abstract :
Gaia is an ambitious space mission of the European Space Agency which will chart a three-dimensional map the Milky Way to study the composition formation and evolution of our Galaxy. Our research team is developing the AVU-GSR verification module, aiming to obtain a reconstruction of the celestial sphere using a subset of GAIA observations. The authors propose a hybrid solution for HPC and Grid-MPI infrastructures which utilizes a modified LSQR - a conjugate gradient-based algorithm - to solve the system of equations for the sphere reconstruction. The proposed solution has been selected as pilot test for porting HPC applications in Grid.
Keywords :
Galaxy; application program interfaces; astronomy computing; conjugate gradient methods; grid computing; message passing; AVU-GSR Gaia mission; AVU-GSR verification module; European Space Agency; Galaxy evolution; HPC; LSQR; Milky Way; ambitious space mission; astrometric verification unit-global sphere reconstruction Gaia mission; celestial sphere reconstruction; composition formation; conjugate gradient-based algorithm; grid-MPI infrastructure; three-dimensional map; Equations; Indexes; Instruments; Mathematical model; Random access memory; Satellites; Vectors; Grid; HPC; LSQR; sparse linear matrix;
Conference_Titel :
Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), 2012 IEEE 21st International Workshop on
Conference_Location :
Toulouse
Print_ISBN :
978-1-4673-1888-4
DOI :
10.1109/WETICE.2012.66
