We have implemented the computation of Coulomb interactions in particle systems using the performance portable C++ framework Kokkos. For the computation of the electrostatic interactions in particle systems we used an Ewald summation. This implementation we consider as a basis for a performance portability study. As target architectures we used Intel CPUs, including Intel Xeon Phi, as well as Nvidia GPUs. To provide a measure for performance portability we compute the number of needed operations and required cycles, i.e. runtime, and compare these with the measured runtime. Results indicate a similar quality of performance portability on all investigated architectures.

我们已经使用性能可移植的C ++框架Kokkos在粒子系统中实现了库仑相互作用的计算。为了计算粒子系统中的静电相互作用，我们使用了Ewald求和。我们认为此实现是性能可移植性研究的基础。作为目标体系结构，我们使用了Intel CPU，包括Intel Xeon Phi和N​​vidia GPU。为了提供性能可移植性的度量，我们计算所需的操作和所需的周期（即运行时间）的数量，并将其与测得的运行时间进行比较。结果表明，在所有研究的架构上，性能可移植性的质量均相似。