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Performance analysis and optimization strategies for a D3Q19 lattice Boltzmann kernel on nVIDIA GPUs using CUDA., , , and . Advances in Engineering Software, 42 (5): 266-272 (2011)Hierarchical hybrid grids: achieving TERAFLOP performance on large scale finite element simulations., , , and . IJPEDS, 22 (4): 311-329 (2007)Performance and power for highly parallel systems., , , and . Concurrency and Computation: Practice and Experience, 28 (2): 187-188 (2016)Chip-level and multi-node analysis of energy-optimized lattice Boltzmann CFD simulations., , , , and . Concurrency and Computation: Practice and Experience, 28 (7): 2295-2315 (2016)Pushing the limits for medical image reconstruction on recent standard multicore processors., , , , and . IJHPCA, 27 (2): 162-177 (2013)Multicore-aware parallel temporal blocking of stencil codes for shared and distributed memory., , and . IPDPS Workshops, page 1-7. IEEE, (2010)Data access optimizations for highly threaded multi-core CPUs with multiple memory controllers., , and . IPDPS, page 1-7. IEEE, (2008)GHOST: Building Blocks for High Performance Sparse Linear Algebra on Heterogeneous Systems., , , , , , , , , and . International Journal of Parallel Programming, 45 (5): 1046-1072 (2017)Multicore-optimized wavefront diamond blocking for optimizing stencil updates., , , , , and . CoRR, (2014)Sparse Matrix-vector Multiplication on GPGPU Clusters: A New Storage Format and a Scalable Implementation., , , , , and . IPDPS Workshops, page 1696-1702. IEEE Computer Society, (2012)