论文标题
将OpenQ $^\ star $ d软件包移植到GPU的性能优化
Performance optimizations for porting the openQ$^\star$D package to GPUs
论文作者
论文摘要
RC $^\ star $ Collaboration已使用OpenQ $^\ Star $ D代码，用于生成具有C $^\ Star $边界条件的完全动态QCD+QED量规配置。在本演讲中，讨论了与OpenQ $^\ star $ D软件包相关的求解器的优化，该软件包与将代码移植到GPU加速超级计算平台上有关。我们介绍了针对不良条件的dirac-operator的Schwarz交替程序的GCR求解器的当前实现的分析。为了实现各种供应商的GPU的支持，提出了一种新颖的自适应CPU/GPU杂交实施方法。
OpenQ$^\star$D code has been used by the RC$^\star$ collaboration for the generation of fully dynamical QCD+QED gauge configurations with C$^\star$ boundary conditions. In this talk, optimization of solvers provided with the openQ$^\star$D package relevant for porting the code on GPU-accelerated supercomputing platforms is discussed. We present the analysis of the current implementations of the GCR solver preconditioned with Schwarz alternating procedure for ill-conditioned Dirac-operators. With the goal of enabling support for GPUs from various vendors, a novel method of adaptive CPU/GPU-hybrid implementation is proposed.
