TY - JOUR
T1 - Large-scale forcing with less communication in finite-difference simulations of stationary isotropic turbulence
AU - Onishi, Ryo
AU - Baba, Yuya
AU - Takahashi, Keiko
N1 - Funding Information:
This research was supported by a Grant-in-Aid from the Ministry of Education, Culture, Sports, Science and Technology (MEXT) of Japan for Young Scientists (B) 21760143, and was partially supported by the Core Research for Evolutional Science and Technology (CREST) Program “Advanced Model Development and Simulations for Disaster Countermeasures” of the Japan Science and Technology Agency (JST). The large-size numerical simulations presented were carried out on the Earth Simulator 2 supercomputer in the Japan Agency for Marine-Earth Science and Technology.
PY - 2011/5/10
Y1 - 2011/5/10
N2 - This study proposes a new forcing scheme suitable for massively-parallel finite-difference simulations of stationary isotropic turbulence. The proposed forcing scheme, named reduced-communication forcing (RCF), is based on the same idea as the conventional large-scale forcing scheme, but requires much less data communication, leading to a high parallel efficiency. It has been confirmed that the RCF scheme works intrinsically in the same manner as the conventional large-scale forcing scheme. Comparisons have revealed that a fourth-order finite-difference model run in combination with the RCF scheme (FDM-RCF) is as good as a spectral model, while requiring less computational costs. For the range 80<Reλ<540, where Reλ is the Taylor microscale-based Reynolds number, large computations using the FDM-RCF scheme show that the Reynolds dependences of skewness and flatness factors have similar power-laws as found in previous studies.
AB - This study proposes a new forcing scheme suitable for massively-parallel finite-difference simulations of stationary isotropic turbulence. The proposed forcing scheme, named reduced-communication forcing (RCF), is based on the same idea as the conventional large-scale forcing scheme, but requires much less data communication, leading to a high parallel efficiency. It has been confirmed that the RCF scheme works intrinsically in the same manner as the conventional large-scale forcing scheme. Comparisons have revealed that a fourth-order finite-difference model run in combination with the RCF scheme (FDM-RCF) is as good as a spectral model, while requiring less computational costs. For the range 80<Reλ<540, where Reλ is the Taylor microscale-based Reynolds number, large computations using the FDM-RCF scheme show that the Reynolds dependences of skewness and flatness factors have similar power-laws as found in previous studies.
KW - Finite-difference scheme
KW - Homogeneous isotropic turbulence
KW - Large-scale forcing
KW - Parallel computing
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U2 - 10.1016/j.jcp.2011.02.034
DO - 10.1016/j.jcp.2011.02.034
M3 - Article
AN - SCOPUS:79952898962
SN - 0021-9991
VL - 230
SP - 4088
EP - 4099
JO - Journal of Computational Physics
JF - Journal of Computational Physics
IS - 10
ER -