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The market leaders of Cloud Computing try to leverage the parallel-processing capability of GPUs to provide more economic services than traditions. As the cornerstone of enterprise applications, database systems are of the highest priority to be improved for the performance and design complexity reduction. It is the purpose of this paper to design an in-memory database, called CUDADB, to scale up...
Various cryptography algorithms have developed to provide different levels of data security for application domains, such as storage security, personal identification, and secure web browsing. They consume massive amount of resource on the server-side while processing encrypting and decrypting requests from clients. In this paper, we try to utilize GPU (Graphics Processing Unit) to speed up the data...
In recent years, NVIDIA proposed a developing platform for GPGPU. They also extended C language to parallel computing language, CUDA. In the meanwhile, the growth of memory capacity inside a computer enhances the feasibility of memory based database. In this paper, a memory database was proposed based on GPU memory. This study focus on how GPU can improve common operations for rational databases....
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