GPU accelerated relational hash join operation

Most of the modern applications involves organization and quick processing of data which demands the use of a database management system. GPUs are now considered the future of computing and the promise that they deliver in the field of image processing and graphics rendering, along with their computation capability nominates them to be used for high performance computing. Modern GPUs are now being used, on a larger scale to solve non-graphical problems taking advantage of their availability and affordability. This has opened new avenues for the exploitation of parallel architecture to accelerate massive data processing operations. This paper looks ahead to parallelize hash join algorithm which is an efficient method practiced to carry out join operation in database management systems. The algorithm is parallelized using CUDA and the results on a NVIDIA 9600 GT exhibits a speedup of up to 45x depending on the size of input relations and result set.