TY - GEN
T1 - Scalable cosmological simulations on parallel machines
AU - Gioachin, Filippo
AU - Sharma, Amit
AU - Chakravorty, Sayantan
AU - Mendes, Celso L.
AU - Kalé, Laxmikant V.
AU - Quinn, Thomas
PY - 2007
Y1 - 2007
N2 - Cosmological simulators are currently an important component in the study of the formation of galaxies and planetary systems. However, existing simulators do not scale effectively on more recent machines containing thousands of processors. In this paper, we introduce a new parallel simulator called ChaNGa (Charm N-body Gravity). This simulator is based on the CHARM++ infrastructure, which provides a powerful runtime system that automatically maps computation to physical processors. Using CHARM++ features, in particular its measurementbased load balancers, we were able to scale the gravitational force calculation of ChaNGa on up to one thousand processors, with astronomical dataseis containing millions of particles. As we pursue the completion of a production version of the code, our current experimental results show that ChaNGa may become a powerful resource for the astronomy community.
AB - Cosmological simulators are currently an important component in the study of the formation of galaxies and planetary systems. However, existing simulators do not scale effectively on more recent machines containing thousands of processors. In this paper, we introduce a new parallel simulator called ChaNGa (Charm N-body Gravity). This simulator is based on the CHARM++ infrastructure, which provides a powerful runtime system that automatically maps computation to physical processors. Using CHARM++ features, in particular its measurementbased load balancers, we were able to scale the gravitational force calculation of ChaNGa on up to one thousand processors, with astronomical dataseis containing millions of particles. As we pursue the completion of a production version of the code, our current experimental results show that ChaNGa may become a powerful resource for the astronomy community.
UR - http://www.scopus.com/inward/record.url?scp=38049110171&partnerID=8YFLogxK
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U2 - 10.1007/978-3-540-71351-7_37
DO - 10.1007/978-3-540-71351-7_37
M3 - Conference contribution
AN - SCOPUS:38049110171
SN - 9783540713500
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 476
EP - 489
BT - High Performance Computing for Computational Science - VECPAR 2006 - 7th International Conference, Revised Selected and Invited Papers
PB - Springer
T2 - 7th International Meeting on High-Performance Computing for Computational Science, VECPAR 2006
Y2 - 10 June 2006 through 13 June 2006
ER -