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基于核心素养下的一次课后反思——以“易燃物和易爆物的安全知识”为例
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作者 王金琳 《读与写(上旬)》 2020年第4期214-214,共1页
基于一次大赛课,而引发的一系列反思与感想。随着课改新理念提出,探索初中化学学科的核心素养在教学中的渗透,通过基于问题构建式的教学设计初衷,分析本节课的优点与不足,引发了在日常教学中,如何渗透化学学科核心素养的一点小思考。
关键词 课后反思 问题构建 “瓶颈”实验 易燃易爆安全知识 核心素养
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A study on coupling technique and implementation of the wave-circulation coupled model 被引量:1
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作者 张志远 Liu Li +5 位作者 Zhou Yufeng Zhang Cheng Li Ruizhe Chen Yushu Song Guojie Yang Guangwen 《High Technology Letters》 EI CAS 2014年第1期82-87,共6页
The coupler is fundamental for a coupled model to realize complex interactions among component models.This paper focuses on the coupling process of Wave-Circulation(W-C) coupled model which consists of MASNUM(key labo... The coupler is fundamental for a coupled model to realize complex interactions among component models.This paper focuses on the coupling process of Wave-Circulation(W-C) coupled model which consists of MASNUM(key laboratory of marine science and numerical modeling wave model)and POM(Princeton Ocean Model).The current coupling module of this coupled model is based on the inefficient I/O file,which has already become a performance bottleneck especially when the coupled model utilizes a large number of processes.To improve the performance of the W-C model,a flexible coupling module based on the model coupling toolkit(MCT) is designed and implemented to replace the current I/O file coupling module in the coupled model.Empirical studies that we have carried out demonstrate that our online coupling module can dramatically improve the parallel performance of the coupled model.The online coupling module outperforms the I/O file coupling module.When processes increase to 96,the whole process of EXP-C takes only 695.8 seconds,which is only 58.8%of the execution time of EXP-F.Based on our experiments under 2D Parallel Decomposition(2DPD),we suggest setting parallel decomposition strategies automatically to component models in order to achieve high parallel efficiency. 展开更多
关键词 coupling technique model coupling toolkit (MCT) W-C coupled online cou-pling module 2D Parallel Decomposition (2DPD) parallel performance
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