Discrete Collision Detection In High Performance Computing (GPU Acceleration System)

Hamzah Asyrani, Sulaiman and Muhammad Noorazlan Shah, Zainudin and Juwita, Mohd Sultan and Ahmad Sayuthi, Mohamad Shokri and Fakrulradzi, Idris (2011) Discrete Collision Detection In High Performance Computing (GPU Acceleration System). Project Report. UTeM. (Submitted)

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Abstract

Virtual environment research has become an important research area in computer graphics due to the need to visualise virtual environment as realistic as possible. Virtual environment consists of elements such as culling, lighting, shadows, collision detection and others that will determine the realism level of simulation. One of the key components that need further consideration is to equip the synthetic world with fast and efficient collision detection approach so that virtual environment can be done realistically. In general , detecting object interference is an essential element in many three-dimensional (3D) application areas such as virtual reality, animation, simulation, game and robotics. Virtual environment is quite useful today as it can represent any physical form of engineering technology into 3D visualization. Thus, collision detection has become one of the important elements that bring virtual world to imitate the realism of a real world especially for medical simulation, pressure system, and many more. Hence, many issues involving virtual environment and collision detection have been investigated. The motivation is to come out with realistic simulation when performing collision detection for computer games and animation. The purpose of this research is to study the discrete collision detection technique that can intensify and boost up performance of collision detection scheme in virtual environment. It is believed that the common collision technique can be enhanced by using high performance computing system based on GPU acceleration system in order to increase the magnitude of higher detection and faster collision system. [n this research , our contribution concentration is on Bounding Volume Hierarchies (BVH) technique using high performance computing based on GPU acceleration in order to perform fast and efficient discrete collision detection to be used in virtual environment.

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