Accelerating EGENMR database operations using GPU processing

Abstract

Data is growing at faster speed. In cloud, fast processing has become essential need to process hefty data. The earlier EGENMR system was developed for process large amount of data present in cloud repositories with the help of MapReduce functions we concluded that the system is better than the latest techniques for processing large amount of data. In this paper, we are enhancing EGENMR by further enhancing the speed of database query operation by using GPU as a co-processor. A theoretical comparison is made in terms of time taken and complexity for hybrid query processing using GPU and EGENMR.