 In this paper we perform a thorough analysis of a sparse-lattice LBM implementation on the Intel Sandy Bridge processor. Starting from a single-core performance model we can describe the intra-chip saturation characteristics of the code and its optimal operating point in terms of energy to solution as a function of the propagation method, the clock frequency, and the SIMD vectorization.
<meaning-changed>  In this paper we perform a thorough analysis of a sparse-lattice LBM implementation on the Intel Sandy Bridge processor. Starting from a single-core performance model we can describe the intra-chip saturation characteristics of the code and its optimal operating point in terms of energy to solution as a function of the propagation method, the clock frequency, and the SIMD vectorization.
 In this paper we perform a thorough analysis of a sparse-lattice LBM implementation for complex geometries. Using a single-core performance model we can describe the intra-chip saturation characteristics of the code and its optimal operating point in terms of energy to solution as a function of the propagation method, the clock frequency, and the SIMD vectorization.