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 2,000 processes.

我们讨论了混合并行迭代稀疏线性求解器框架的新发展，该框架着眼于石油储层流动和岩土力学模拟。它使用分布式矩阵和向量的两层分层体系结构，可在多种平台上高效运行，从台式机工作站到多核节点的群集，无论是否带有多个GPU。结果显示出良好的并行可伸缩性。与一个完善的库和一个专有的商业求解器进行的比较表明，我们的求解器在具有最佳可用工具方面具有竞争力。我们介绍了求解器在模拟多达数十亿个未知数的真实和合成油藏模型中的应用程序的结果，这些模型在多达2,000个进程的CPU和GPU上运行。