مشخص کردن ارتباط و استفاده از صفحات برنامه های موازی برای نقشه برداری موضوع و داده

In this paper, we introduce a profiling method to establish the suitability of parallel applications for improved mappings that take the memory hierarchy into account, based on a mathematical description of their memory access behaviors. Experiments with a large set of parallel workloads that are based on a variety of parallel APIs (MPI, OpenMP, Pthreads, and MPI+OpenMP) show that most applications can benefit from improved mappings. We provide a mechanism to compute optimized thread and data mappings. Experimental results with this mechanism showed performance improvements of up to 54% (20% on average), as well as reductions of the energy consumption of up to 37% (11% on average), compared to the default mapping by the operating system. Furthermore, our results show that thread and data mapping have to be performed jointly in order to achieve optimal improvements.