在图形处理芯片GPU芯片架构设计过程中,针对C-model源代码管理,设计了一套检入管理系统CIMS(Check In Management System),并根据集合覆盖原理提出一种新的优选策略,用于筛选CIMS系统中的测试用例。实验表明,该算法获得的测试集合,在时...在图形处理芯片GPU芯片架构设计过程中,针对C-model源代码管理,设计了一套检入管理系统CIMS(Check In Management System),并根据集合覆盖原理提出一种新的优选策略,用于筛选CIMS系统中的测试用例。实验表明,该算法获得的测试集合,在时间约束条件下,能有效覆盖已有代码,充分发挥预检功能。展开更多
In this paper, the effect of the computational grids on the wind turbine positioning optimization is studied. The linear wake flow model is used to calculate the turbine wake flow. The power law is used to model the p...In this paper, the effect of the computational grids on the wind turbine positioning optimization is studied. The linear wake flow model is used to calculate the turbine wake flow. The power law is used to model the power curve of wind turbine. Greedy algorithm with repeated adjustments is introduced to solve the wind turbine positioning problem, with the target of maximizing the total power output of wind farm. Square grid and triangle grid with various orientations are used to discretize the area of wind farm. Three numerical cases are introduced to study the effect of the computational grids on the optimized results. The results show that the optimized power output can be improved through choosing appropriate grid orientation. The suggested grid orientations for single direction wind case and multi-direction wind case are given.展开更多
文摘在图形处理芯片GPU芯片架构设计过程中,针对C-model源代码管理,设计了一套检入管理系统CIMS(Check In Management System),并根据集合覆盖原理提出一种新的优选策略,用于筛选CIMS系统中的测试用例。实验表明,该算法获得的测试集合,在时间约束条件下,能有效覆盖已有代码,充分发挥预检功能。
基金supported by the International Scientific and Technological Cooperation Program (2011DFG13020)the China Postdoctoral Science Foundation (2013M530043)the National High-Tech R&D Program of China (2007AA05Z426)
文摘In this paper, the effect of the computational grids on the wind turbine positioning optimization is studied. The linear wake flow model is used to calculate the turbine wake flow. The power law is used to model the power curve of wind turbine. Greedy algorithm with repeated adjustments is introduced to solve the wind turbine positioning problem, with the target of maximizing the total power output of wind farm. Square grid and triangle grid with various orientations are used to discretize the area of wind farm. Three numerical cases are introduced to study the effect of the computational grids on the optimized results. The results show that the optimized power output can be improved through choosing appropriate grid orientation. The suggested grid orientations for single direction wind case and multi-direction wind case are given.
