Showing 61 - 80 results of 93 for search 'Super 8 Motels~', query time: 2.15s Refine Results
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    Searching for Minimum in Dependence of Squared Speed-of-Sound on Collision Energy by Fu-Hu Liu, Li-Na Gao, Roy A. Lacey

    Published 2016-01-01
    “…Experimental results of the rapidity distributions of negatively charged pions produced in proton-proton (p-p) and beryllium-beryllium (Be-Be) collisions at different beam momentums, measured by the NA61/SHINE Collaboration at the super proton synchrotron (SPS), are described by a revised (three-source) Landau hydrodynamic model. …”
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    Size-Dependent Dynamic Behavior of Axially Moving Graphene Nanosheets Using Nonlocal First-Order Shear Deformation Theory by Huafeng Tian

    Published 2023-06-01
    “…Based on the potential applications of graphene nanosheets as super-sensitive sensors, this paper examines the vibrations of graphene nanoplates under the influence of axial motion. …”
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    Study of Nonleptonic Bq∗→DqV and PqD∗ Weak Decays by Qin Chang, Xiaohui Hu, Junfeng Sun, Xiaolin Wang, Yueling Yang

    Published 2015-01-01
    “…Motivated by the powerful capability of measurement for the b hadron decays at LHC and SuperKEKB/Belle-II, the nonleptonic B-∗→DD-∗, Dρ-, DK∗-, πD∗, and KD∗ decays are studied. …”
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    Optimization strategies for multi‐block structured CFD simulation based on Sunway TaihuLight by Xiaojing Lv, Wenhao Leng, Zhao Liu, Chengsheng Wu, Fang Li, Jiuxiu Xu

    Published 2025-01-01
    “…Abstract Decomposition and solver are the main performance bottlenecks of multi‐block structured CFD simulation involving complex industrial configurations such as aero‐engine, shock‐boundary layer interactions, turbulence modeling and so on. In this article, we proposed several optimization strategies to improve the computing efficiency of multi‐block structured CFD simulation based on Sunway TaihuLight super computing system, including: (1) a load balancing decomposition approach combined with recursive segmentation of undirected graphs and block mapping for multi‐structured blocks, (2) two‐level parallelism that utilizes MPI + OpenACC2.0* hybrid parallel paradigms with various performance optimizations such as data preprocessing, reducing unnecessary loops of subroutine calls, collapse, and tile syntax, memory access optimization between the main memory and local data memory (LDM), and (3) a carefully orchestrated pipeline and register communication strategy between computing processor elements (CPEs) to tackle the dependence of LU‐SGS (Lower‐Upper Symmetric Gauss–Seidel). …”
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