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Forward modeling of gravitational fields on hybrid multi-threaded cluster

机译:混合多线程簇上重力场的正演模拟

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摘要

The analytic solution of the gravimetric tensor components, making use of the gravitational potential equation for a three-dimensional volumetric assembly composed of unit prisms of constant density, demands a high computational cost. This is due to the gravitational potential of each one of these prisms must be calculated for all of the points of a previously defined observation grid, which turns out in a large scale computational cost. In this work we introduce a hybrid design and its parallel implementation, based on OpenMP and MPI, for the calculation of the vectorial components of the gravimetric field and the components of the gravimetric tensor. Since the computing time is drastically reduced, the obtained performance leads close to optimal speed-up ratios. The applied parallelization technique consists of decomposing the problem into groups of prisms and using different memory allocations per processing core to avoid bottleneck issues when accessing the main memory in one cluster node, which are generally produced when using too many execution threads over the same region in OpenMP. Due OpenMP can be only used on shared memory systems is necessary to use MPI for the calculation distribution among cluster nodes, giving as a result a hybrid code (OpenMP+MPI) highly efficient and with a nearly perfect speed-up. Additionally the numerical results were validated with respect to its sequential counterpart.
机译:重力张量分量的解析解,利用由恒密度单位棱镜组成的三维体积组件的重力势方程,需要很高的计算成本。这是由于必须为先前定义的观察网格的所有点计算这些棱镜中每个棱镜的重力势能,这导致了大规模的计算成本。在这项工作中,我们介绍了一种基于OpenMP和MPI的混合设计及其并行实现,用于计算重力场的矢量分量和重力张量的分量。由于大大减少了计算时间,因此获得的性能接近最佳的加速比。应用的并行化技术包括将问题分解为多个棱柱,并为每个处理核心使用不同的内存分配,以避免在访问一个群集节点中的主内存时出现瓶颈问题,这通常是由于在同一区域中使用太多执行线程而产生的OpenMP。由于OpenMP仅可用于共享内存系统,因此必须使用MPI才能在群集节点之间进行计算分配,从而使混合代码(OpenMP + MPI)高效且几乎完美。另外,数值结果相对于其顺序对应物得到了验证。

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