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Hybrid parallel iterative sparse linear solver framework for reservoir geomechanical and flow simulation

机译:混合并联迭代稀疏线性求解器框架,用于水库地质力学和流量模拟

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摘要

We discuss new developments of a hybrid parallel iterative sparse linear solver framework focused on petroleum reservoir flow and geomechanical simulation. It runs efficiently on several platforms, from desktop workstations to clusters of multicore nodes, with or without multiple GPUs, using a two-tier hierarchical architecture for distributed matrices and vectors. Results show good parallel scalability. Comparisons with a well-established library and a proprietary commercial solver indicate that our solver is competitive with the best available tools. We present results of the solver?s application to simulations of real and synthetic reservoir models of up to billions of unknowns, running on CPUs and GPUs on up to 2000 processes.
机译:我们讨论了集合并行迭代稀疏线性求解器框架的新发展,其集中于石油储层流量和地质力学模拟。 它在几个平台上有效地运行,从桌面工作站到多核节点的集群,使用或不使用多个GPU,使用分布式矩阵和向量的双层分层体系结构。 结果显示出良好的平行可扩展性。 与建立良好的图书馆和专有的商业解决者的比较表明我们的求解器与最佳可用工具具有竞争力。 我们展示了求解器的应用程序,以模拟了最多数十亿个未知数的实际和合成水库模型,在CPU和GPU上运行,最多2000个进程。

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