We worked with Sandia National Labs to explore the performance of various strategies for implementing thread parallel computational kernels on the CPU and GPU. Based on our research and performance analysis we developed recommendations for maximizing the performance of these kernels. We also provided data about the usability and performance of their parallel computing library, Kokkos. These results will help Sandia expand the usage of Kokkos both externally and throughout their code base.