The sparse grid combination technique provides a framework to solve high dimensional numerical problems with standard solvers. Hierarchization is preprocessing step facilitating the communication needed for the combination technique. The derived hierarchization algorithm outperforms the baseline by up to 30x and achieves close to 5% of peak performance. It also shows stable performance for the tested data sets of up to 1 GB.