In modern online multi-player games, game providers are struggling to keep up with the many different types of cheating. cheatdetection is a task that requires a lot of computational resources. Advances made within t...
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ISBN:
(纸本)9781424483556
In modern online multi-player games, game providers are struggling to keep up with the many different types of cheating. cheatdetection is a task that requires a lot of computational resources. Advances made within the field of heterogeneous computing architectures, such as graphics processing units (GPUs), have given developers easier access to considerably more computational resources, enabling a new approach to solving this issue. In this paper, we have developed a small game simulator that includes a customizable physics engine and a cheatdetection mechanism that checks the physical model used by the game. To make sure that the mechanisms are fair to all players, they are executed on the server side of the game system. We investigate the advantages of implementing physics cheatdetection mechanisms on a GPU using the Nvidia CUDA framework, and we compare the GPU implementation of the cheatdetection mechanism with a CPU implementation. The results obtained from the simulations show that offloading the cheatdetection mechanisms to the GPU reduces the time spent on cheatdetection, enabling the servers to support a larger number of clients.
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