CUDA implementation of integration rules within an hp-finite element code

With the introduction in 2006 of CUDA architecture for Nvidia GPUs a new programming model borned. Large number of articles indicates that this new programming model in a new architecture achieves better performance than previous implementations in traditional languages for CPUs. In this work the author tries to show the capabilities of GPU computing. To perform such a task a hp Finite Element integration method is implemented both in CUDA and in C language. After implementation, parallel executions in CPU and GPU will be compared to demonstrate if it is worth to create new algorimths under this architecture