HiGPUs is an implementation of the numerical integration of the classical, gravitational, N-body problem, based on a 6th order Hermite's integration scheme with block time steps, with a direct evaluation of the particle-particle forces. The main innovation of this code is its full parallelization, exploiting both OpenMP and MPI in the use of the multicore Central Processing Units as well as either Compute Unified Device Architecture (CUDA) or OpenCL for the hosted Graphic Processing Units. We tested both performance and accuracy of the code using up to 256 GPUs in the supercomputer IBM iDataPlex DX360M3 Linux Infiniband Cluster provided by the italian supercomputing consortium CINECA, for values of N ≤ 8 millions. We were able to follow the evolution of a system of 8 million bodies for few crossing times, task previously unreached by direct summation codes. HiGPUs is also available as part of the AMUSE project.

HiGPUs: Hermite's N-body integrator running on Graphic Processing Units / Spera, Mario; CAPUZZO DOLCETTA, Roberto Angelo; Punzo, Davide. - ELETTRONICO. - (2012).

HiGPUs: Hermite's N-body integrator running on Graphic Processing Units

SPERA, MARIO;CAPUZZO DOLCETTA, Roberto Angelo;PUNZO, DAVIDE
2012

Abstract

HiGPUs is an implementation of the numerical integration of the classical, gravitational, N-body problem, based on a 6th order Hermite's integration scheme with block time steps, with a direct evaluation of the particle-particle forces. The main innovation of this code is its full parallelization, exploiting both OpenMP and MPI in the use of the multicore Central Processing Units as well as either Compute Unified Device Architecture (CUDA) or OpenCL for the hosted Graphic Processing Units. We tested both performance and accuracy of the code using up to 256 GPUs in the supercomputer IBM iDataPlex DX360M3 Linux Infiniband Cluster provided by the italian supercomputing consortium CINECA, for values of N ≤ 8 millions. We were able to follow the evolution of a system of 8 million bodies for few crossing times, task previously unreached by direct summation codes. HiGPUs is also available as part of the AMUSE project.
2012
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/504537
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