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A new era in scientific computing: Domain decomposition methods in hybrid CPU-GPU architectures

机译：科学计算的新纪元：混合CPU-GPU架构中的域分解方法

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Recent advances in graphics processing units (GPUs) technology open a new era in high performance computing. Applications of GPUs to scientific computations are attracting a lot of attention due to their low cost in conjunction with their inherently remarkable performance features and the recently enhanced computational precision and improved programming tools. Domain decomposition methods (DDM) constitute today an important category of methods for the solution of highly demanding problems in simulation-based applied science and engineering. Among them, dual domain decomposition methods have been successfully applied in a variety of problems in both sequential as well as in parallel/distributed processing systems. In this work, we demonstrate the implementation of the FETI method to a hybrid CPU-GPU computing environment. Parametric tests on implicit finite element structural mechanics benchmark problems revealed the tremendous potential of this type of hybrid computing environment as a result of the full exploitation of multi-core CPU hardware resources and the intrinsic software and hardware features of the GPUs as well as the numerical properties of the solution method.
机译：图形处理单元（GPU）技术的最新进展开启了高性能计算的新纪元。由于GPU的低成本，其固有的卓越性能，最近增强的计算精度和改进的编程工具，因此在科学计算中的应用吸引了许多关注。今天，领域分解方法（DDM）构成了解决基于仿真的应用科学和工程中的高要求问题的方法的重要类别。其中，双域分解方法已成功应用于顺序以及并行/分布式处理系统中的各种问题。在这项工作中，我们演示了FETI方法在混合CPU-GPU计算环境中的实现。对隐式有限元结构力学基准问题的参数测试表明，由于充分利用了多核CPU硬件资源以及GPU的固有软件和硬件功能以及数值，这种混合计算环境具有巨大的潜力。方法的性质。

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