论文标题
用GPU加速BEM的介电击穿预测
Dielectric breakdown prediction with GPU-accelerated BEM
论文作者
论文摘要
高压设备中介电故障的预测是基于评估沿场线的电场的标准。因此，有必要有效地计算空间任意点的电场。基于MPI平行搭配实现的间接公式的边界元素方法（BEM）已证明可以很好地应对此要求。它仅部署地面网格，即使对于复杂的工业几何形状，它们也很容易生成。大型密集的bem矩阵的组装，以及所得系统的迭代解决方案过程和沿野外线的评估都要求我们多次执行相同类型的计算。在这些情况下，图形处理单元（GPU）有望比标准处理器（CPU）更有效。在本文中，我们研究了GPU加速度是否可以加快已建立的CPU - 平行BEM求解器。
The prediction of a dielectric breakdown in a high-voltage device is based on criteria that evaluate the electric field along field lines. Therefore it is necessary to efficiently compute the electric field at arbitrary points in space. A boundary element method (BEM) based on an indirect formulation, realized with MPI-parallel collocation, has proven to cope very well with this requirement. It deploys surface meshes only, which are easy to generate even for complex industrial geometries. The assembly of the large dense BEM-matrix, as well as the iterative solution process of the resulting system and the evaluation along the field-lines all require us to carry out the same type of calculation many times. Graphical processing units (GPUs) promise to be more efficient than standard processors (CPUs) in these situations. In this paper we investigate if GPU acceleration can speed up the established CPU-parallel BEM solver.
