A three-dimensional anisotropic elastic wave numerical simulation method and system
A numerical simulation, three-dimensional and isotropic technology, applied in the field of geophysical exploration, can solve the problems of high cost and not widely used, achieve the effect of low hardware cost, optimize communication bottleneck, and improve overall computing performance
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Embodiment 2
[0068] In embodiment 2, on the basis of embodiment 1, said step 4 specifically includes the following steps:
[0069] Step 4.1: Determine the calculation area of each grid point according to all wave field values, and determine the boundary of the calculation area by means of absorption boundary, and simulate the propagation of waves in the underground medium in the calculation area;
[0070] Step 4.2: Partition all calculation areas, exchange data on the boundary data of adjacent partitions, obtain simulated elastic wave data, and complete elastic wave numerical simulation.
Embodiment 3
[0071] In Embodiment 3, on the basis of Embodiment 1 or 2, the boundary data in step 4.2 adopts GPU-Direct technology for data exchange.
Embodiment 4
[0072] In embodiment 4, on the basis of any embodiment of embodiment 1-3, the data exchange in the step 4.2 specifically includes:
[0073] The area is decomposed along the slowest axis of calculation area boundary data in the media model to obtain multiple partitions, and all partitions are allocated to multiple GPUs, and each partition performs calculations independently on one GPU; every two adjacent partitions The border data are then exchanged.
[0074] In this embodiment, further, the GPU-Direct technology is used to perform data exchange on the calculation boundary data of each calculation node at each moment. The specific implementation is as follows:
[0075] When dealing with solving large-scale 3D models, limited global memory makes it impossible for a single GPU device to store the entire model mesh. To this end, our algorithm must extend CUDA codes to run on multi-GPU devices and multi-node heterogeneous architectures to make full use of GPU computing power for h...
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