Wang Qiao1; Cao Zongyan1; Gao Liang1; Chi Xuebin2; Meng Chen2; Wang Jie1; Wang Long2
Source Publicationresearchinastronomyandastrophysics
AbstractWe introduce a new code for cosmological simulations, PHoToNs, which incorporates features for performing massive cosmological simulations on heterogeneous high performance computer (HPC) systems and threads oriented programming. PHoToNs adopts a hybrid scheme to compute gravitational force, with the conventional Particle-Mesh (PM) algorithm to compute the long-range force, the Tree algorithm to compute the short range force and the direct summation Particle-Particle (PP) algorithm to compute gravity from very close particles. A self-similar space filling a Peano-Hilbert curve is used to decompose the computing domain. Threads programming is advantageously used to more flexibly manage the domain communication, PM calculation and synchronization, as well as Dual Tree Traversal on the CPU+MIC platform. PHoToNs scales well and efficiency of the PP kernel achieves 68.6% of peak performance on MIC and 74.4% on CPU platforms. We also test the accuracy of the code against the much used Gadget-2 in the community and found excellent agreement.
Funding Project[National Key Program for Science and Technology Research and Development] ; [National Natural Science Foundation of China] ; [Royal Society Newton advanced Fellowships]
Document Type期刊论文
First Author AffilicationNational Astronomical Observatories, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Wang Qiao,Cao Zongyan,Gao Liang,et al. photonsaparallelheterogeneousandthreadsorientedcodeforcosmologicalnbodysimulation[J]. researchinastronomyandastrophysics,2018,18(6).
APA Wang Qiao.,Cao Zongyan.,Gao Liang.,Chi Xuebin.,Meng Chen.,...&Wang Long.(2018).photonsaparallelheterogeneousandthreadsorientedcodeforcosmologicalnbodysimulation.researchinastronomyandastrophysics,18(6).
MLA Wang Qiao,et al."photonsaparallelheterogeneousandthreadsorientedcodeforcosmologicalnbodysimulation".researchinastronomyandastrophysics 18.6(2018).
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