CUDAEASY – a GPU accelerated cosmological lattice program This paper presents, to the author’s knowledge, the first graphics processing unit (GPU) accelerated program that solves the evolution of interacting scalar fields in an expanding universe. We present the implementation in NVIDIA’s Compute Unified Device Architecture (CUDA) and compare the performance to other similar programs in chaotic inflation models. We report speedups between one and two orders of magnitude depending on the used hardware and software while achieving small errors in single precision. Simulations that used to last roughly one day to compute can now be done in hours and this difference is expected to increase in the future. The program has been written in the spirit of LATTICEEASY and users of the aforementioned program should find it relatively easy to start using CUDAEASY in lattice simulations.
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References in zbMATH (referenced in 4 articles , 1 standard article )
Showing results 1 to 4 of 4.
- Wang, Lixiang; Li, Shihai; Zhang, Guoxin; Ma, Zhaosong; Zhang, Lei: A GPU-based parallel procedure for nonlinear analysis of complex structures using a coupled FEM/DEM approach (2013)
- Huang, Bormin; Mielikainen, Jarno; Oh, Hyunjong; Huang, Hung-Lung Allen: Development of a GPU-based high-performance radiative transfer model for the infrared atmospheric sounding interferometer (IASI) (2011)
- Frolov, Andrei V.: Nonlinear dynamics and primordial curvature perturbations from preheating (2010)
- Sainio, J.: CUDAEASY -- a GPU accelerated cosmological lattice program (2010)