Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: EULAG Eulerian/semi-Lagrangian fluid solver is an established numerical model for simulating thermo-fluid flows across a wide range of scales and physical scenarios. The multidimensional positive definite advection transport algorithm MPDATA is among the most time-consuming components of EULAG. In this study,  focus on adapting the 3D MPDATA computations to clusters with graphics processors. Our approach is based on a hierarchical decomposition including the level of cluster, as ll as an optimized distribution of computations beten GPU resources within each node. To implement the resulting computing scheme, the MPI standard is used across nodes, while CUDA is applied inside nodes.  present performance results for the 3D MPDATA code running on the NVIDIA GeForce GTX TITAN graphics card, as ll as on the Piz Daint cluster equipped with NVIDIA Tesla K20x GPUs. In particular, the sustained performance of 138 Gflop/s is achieved for a single GPU, which scales upi¾?to more than 11 Tflop/s for 256 GPUs.
['Krzysztof Rojek', 'Roman Wyrzykowski']
I am writing a research paper on a idea Parallelization of 3D MPDATA Algorithm Using Many Graphics Processors
[{"from": "human", "value": "I am writing a research paper on a idea Parallelization of 3D MPDATA Algorithm Using Many Graphics Processors"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: EULAG Eulerian/semi-Lagrangian fluid solver is an established numerical model for simulating thermo-fluid flows across a wide range of scales and physical scenarios. The multidimensional positive definite advection transport algorithm MPDATA is among the most time-consuming components of EULAG. In this study,  focus on adapting the 3D MPDATA computations to clusters with graphics processors. Our approach is based on a hierarchical decomposition including the level of cluster, as ll as an optimized distribution of computations beten GPU resources within each node. To implement the resulting computing scheme, the MPI standard is used across nodes, while CUDA is applied inside nodes.  present performance results for the 3D MPDATA code running on the NVIDIA GeForce GTX TITAN graphics card, as ll as on the Piz Daint cluster equipped with NVIDIA Tesla K20x GPUs. In particular, the sustained performance of 138 Gflop/s is achieved for a single GPU, which scales upi\u00be?to more than 11 Tflop/s for 256 GPUs."}]