Hyper-Real-Time Ice Simulation and Modeling Using GPGPU By

Simulation of the behaviour of a ship operating in pack ice is a computationally in-tensive process to which General Purpose Computing on Graphical Processing Units (GPGPU) can be applied. GPGPU is the use of a GPU (graphics processing unit) to do general purpose scientific and engineering computing. The model for GPU computing is to use a CPU and GPU together in a heterogeneous co-processing com-puting platform. The sequential part of the application runs on the CPU and the computationally-intensive part is accelerated by the GPU. From the users perspec-tive, the application just runs faster because it is using the high-performance of the GPU to boost performance. This thesis presents an efficient parallel implementation of such a simulator developed using the NVIDIA Compute Unified Device Archi-tecture (CUDA). This simulator can be used to give users the ability to analyze ice-interactions for design, assessment and training purposes. This thesis also de-scribes the execution of experiments to evaluate the performance of the simulator and to validate the numerical modeling of ship operations in pack ice. It also de-scribes the useful applications that have been done using this simulator in planning ice management activities. i Acknowledgements I would like to express my sincere appreciation for the assistance and guidance o