Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  improved the tsunami simulation code JAGURS, which is a paralleled version of URSGA code for a large-scale, high-speed tsunami prediction in the Nankai trough, Japan.  optimized the loop kernel for velocity update and intergrid communication on a three-dimensional torus network. Linear scaling was achieved up to the full system capability of the K computer 82,944 nodes in a strong scaling test that used 100 billion finite-difference grid points. The measured performance on the K computer was 1.2 petaflops 11.5% of peak speed. Intergrid communication was optimized for a three-nested-grid model consisting of 0.68 billion grid points. Grid spacing in the area with the finest grid 180 km × 120 km was about 5 m.  successfully implemented a large-scale tsunami simulation using this model that ran in about 30% of real time.  believe that this is the fastest tsunami prediction achieved to date with such a large-scale model. Our code can provide high-resolution tsunami prediction for broad regions within a reasonable time to assist emergency rescue and relief operations during future devastating tsunamis comparable to the 2004 Sumatra, 2010 Chile, and 2011 Tohoku tsunamis.
['Toshitaka Baba', 'Kazuto Ando', 'Daisuke Matsuoka', 'Mamoru Hyodo', 'Takane Hori', 'Narumi Takahashi', 'Ryoko Obayashi', 'Yoshiyuki Imato', 'Dai Kitamura', 'Hitoshi Uehara', 'Toshihiro Kato', 'Ryotaro Saka']
I am writing a research paper on a idea Large-scale, high-speed tsunami prediction for the Great Nankai Trough Earthquake on the K computer
[{"from": "human", "value": "I am writing a research paper on a idea Large-scale, high-speed tsunami prediction for the Great Nankai Trough Earthquake on the K computer"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  improved the tsunami simulation code JAGURS, which is a paralleled version of URSGA code for a large-scale, high-speed tsunami prediction in the Nankai trough, Japan.  optimized the loop kernel for velocity update and intergrid communication on a three-dimensional torus network. Linear scaling was achieved up to the full system capability of the K computer 82,944 nodes in a strong scaling test that used 100 billion finite-difference grid points. The measured performance on the K computer was 1.2 petaflops 11.5% of peak speed. Intergrid communication was optimized for a three-nested-grid model consisting of 0.68 billion grid points. Grid spacing in the area with the finest grid 180\u00a0km\u00a0\u00d7\u00a0120\u00a0km was about 5\u00a0m.  successfully implemented a large-scale tsunami simulation using this model that ran in about 30% of real time.  believe that this is the fastest tsunami prediction achieved to date with such a large-scale model. Our code can provide high-resolution tsunami prediction for broad regions within a reasonable time to assist emergency rescue and relief operations during future devastating tsunamis comparable to the 2004 Sumatra, 2010 Chile, and 2011 Tohoku tsunamis."}]