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Performance exploration of various C/C++ compilers for AMD EPYC processors in numerical modeling of solidification., , , , , and . Adv. Eng. Softw., (2022)Correlation of Performance Optimizations and Energy Consumption for Stencil-Based Application on Intel Xeon Scalable Processors., , , and . IEEE Trans. Parallel Distributed Syst., 31 (11): 2582-2593 (2020)Performance Optimizations for Parallel Modeling of Solidification with Dynamic Intensity of Computation., , , and . PPAM (1), volume 12043 of Lecture Notes in Computer Science, page 370-381. Springer, (2019)Performance Analysis for Stencil-Based 3D MPDATA Algorithm on GPU Architecture., , and . PPAM (1), volume 8384 of Lecture Notes in Computer Science, page 145-154. Springer, (2013)Towards Efficient Decomposition and Parallelization of MPDATA on Hybrid CPU-GPU Cluster., , , and . LSSC, volume 8353 of Lecture Notes in Computer Science, page 457-464. Springer, (2013)Toward Parallel Modeling of Solidification Based on the Generalized Finite Difference Method Using Intel Xeon Phi., , , , and . PPAM (1), volume 9573 of Lecture Notes in Computer Science, page 411-422. Springer, (2015)Using Blue Gene/P and GPUs to Accelerate Computations in the EULAG Model., , and . LSSC, volume 7116 of Lecture Notes in Computer Science, page 670-677. Springer, (2011)Model-based optimization of MPDATA on Intel Xeon Phi through load imbalancing., , and . CoRR, (2015)Unleashing the performance of ccNUMA multiprocessor architectures in heterogeneous stencil computations., , , and . J. Supercomput., 75 (12): 7765-7777 (2019)Performance enhancement of a dynamic K-means algorithm through a parallel adaptive strategy on multicore CPUs., , , , and . J. Parallel Distributed Comput., (2020)