• The Journal of the Korea Contents Association
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• v.5 no.5
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• pp.107-114
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• 2005

The next generation of 3D mobile games market is becoming increasingly active, more as a result of improvement in the CPU speed of hardware phone, embarkation of 3D engines and high memory capacity, In response to this trend, popular 3D games of PS2 (PlayStation2) and popular online games are being launched as mobile games. However, mobile units have different hardware characteristics compared to those of other platforms such as the PC or the game console. Therefore, mobile game versions of the popular PC games face many limitations in many aspects such as in battery capacity, size of display, capacity of the game, and other user interface issues. Among these many limitations, study for allowing low capacity storage of the game is becoming important. In addition, realistic animation of the 3D character on the small screen of the mobile unit is more important than any other matter. The purpose of this study is to find a solution to providing realistic 3D character animation, and for decreasing the storage capacity of character animation for application in 3D mobile games.

• KIPS Transactions on Computer and Communication Systems
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• v.10 no.5
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• pp.123-136
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• 2021

RPC (Remote Procedure Call)-based Graphics Processing Unit (GPU) virtualization technology is one of the technologies for sharing GPUs with multiple user virtual machines. However, in a cloud environment, unlike CPU or memory, general GPUs do not provide a resource isolation technology that can limit the resource usage of virtual machines. In particular, in an RPC-based virtualization environment, since GPU tasks executed in each virtual machine are performed in the form of multi-process, the lack of resource isolation technology causes performance degradation due to resource competition. In addition, the GPU memory competition accelerates the performance degradation as the resource demand of the virtual machines increases, and the fairness decreases because it cannot guarantee equal performance between virtual machines. This paper, in the RPC-based GPU virtualization environment, analyzes the performance degradation problem caused by resource contention when the GPU memory requirement of virtual machines exceeds the available GPU memory capacity and proposes a GPU memory management technique to solve this problem. Also, experiments show that the GPU memory management technique proposed in this paper can improve the performance of GPGPU tasks.