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== Abstract == | == Abstract == | ||
| − | + | The challenge addressed in this experiment was demonstrate how advanced computing can optimise seakeeping design. Seakeeping simulations are large and complex, and so require significant compute power to be completed in a reasonable time. To achieve this, existing seakeeping software would need to be adapted to run on remote HPC resources. This would give WAVEC and VICUSDT a powerful design tool and a significant competitive advantage. | |
== Full document == | == Full document == | ||
<pdf>Media:Draft_Garcia_500049770_7158_Fortissimo_SuccessStory_Booklet_4thEdition_v03_small COMPASSIS.pdf</pdf> | <pdf>Media:Draft_Garcia_500049770_7158_Fortissimo_SuccessStory_Booklet_4thEdition_v03_small COMPASSIS.pdf</pdf> | ||
Revision as of 18:14, 4 February 2019
Abstract
The challenge addressed in this experiment was demonstrate how advanced computing can optimise seakeeping design. Seakeeping simulations are large and complex, and so require significant compute power to be completed in a reasonable time. To achieve this, existing seakeeping software would need to be adapted to run on remote HPC resources. This would give WAVEC and VICUSDT a powerful design tool and a significant competitive advantage.
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Published on 05/02/19
Submitted on 04/02/19
Licence: CC BY-NC-SA license
