TY - CONF
T1 - Efficient large-scale forcing in finite-difference simulations of steady 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 Core Research for Evolutional Science and Technology (CREST) Program "Advanced Model Development and Simulations for Disaster Countermeasures" of Japan Science and Technology Agency (JST). Large-size numerical simulations presented were carried out on the Earth Simulator 2 in Japan Agency for Marine-Earth Science and Technology.
Publisher Copyright:
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PY - 2010
Y1 - 2010
N2 - This study proposes a new forcing scheme suitable for massively-parallel finite-difference simulations of steady isotropic turbulence. The proposed forcing scheme, named reduced-communication forcing (RCF), is based on the idea of the conventional large-scale forcing, but requires much less data communication, leading to a high parallel efficiency. It has been confirmed that the RCF works intrinsically in the same manner as the conventional large-scale forcing. Comparisons have revealed that the fourth-order finite-difference model run in combination with the RCF (FDM-RCF) is as good as the spectral model, while requiring less computational costs.
AB - This study proposes a new forcing scheme suitable for massively-parallel finite-difference simulations of steady isotropic turbulence. The proposed forcing scheme, named reduced-communication forcing (RCF), is based on the idea of the conventional large-scale forcing, but requires much less data communication, leading to a high parallel efficiency. It has been confirmed that the RCF works intrinsically in the same manner as the conventional large-scale forcing. Comparisons have revealed that the fourth-order finite-difference model run in combination with the RCF (FDM-RCF) is as good as the spectral model, while requiring less computational costs.
KW - Finite-difference simulation
KW - High-performance computing
KW - Intermittency
KW - Steady isotropic turbulence
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M3 - Paper
AN - SCOPUS:85084011544
T2 - 3rd Chaotic Modeling and Simulation International Conference, CHAOS 2010
Y2 - 1 June 2010 through 4 June 2010
ER -