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 NVIDIA’s 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.