Towards scalable electromagnetic solvers on high-performance compute platforms
Towards scalable electromagnetic solvers on high-performance compute platforms
批准号:
2751559
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2022
资助国家:
英国
项目状态:
未结题
起止时间:
2022 至 --
中文摘要
由于电磁理论强大的预测能力,使得电磁仿真在现代电气工程研究与开发中不可或缺。计算电磁学的范围和应用仅限于中等电尺寸和简化复杂度的问题。这些限制源于数值方法所需的大量计算资源。有限元法是处理复杂几何问题的有用工具,它与快速兴起的高性能科学计算技术相结合,极大地提高了求解复杂程度日益增加的电磁散射和辐射问题的能力。通过结合;新的技术,大型计算资源,高效的代码,新的电力和几何复杂的问题可以分析和理解。
英文摘要
Due to the strong predictive power of electromagnetic theory, electromagnetic simulation becomes indispensable in modern electrical engineering research and development. The scope and application of computational electromagnetism are limited to problems of moderate electrical size and simplified complexity. These limitations stem from the vast computational resources required by the numerical methods. The Finite Element Method is a useful tool to deal with electrically large problems with complex geometries, this combined with the fast emerging technology of high performance scientific computation technology significantly enhances the solution of electromagnetic scattering, and radiation, problems with increasing degree of complexity. By combining; new techniques, large compute resource, and efficient code, new electrically large and geometrically complex problems can be analysed and understood.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
-
批准号:--
-
项目类别:合作创新研究团队
-
资助金额:--
-
批准年份:2024
-
负责人:姚韬
-
依托单位: