Exploiting Computing Power on Graphics Processing Unit

With recent technological advances, graphics processing units (GPUs) are providing increasingly higher performance with improvement programmability. This paper investigates NVIDIApsilas CUDA technology that enables data mining algorithm be parallelized effectively on GPU. The proposed algorithm exploits the computational power and the memory hierarchy of GPUs, using the shared memory to store frequently accessed data. Experimental results indicate that the speed of the computation through the GPU is considerably faster than through the CPU.