| Resumen |
The Heat equation is a parabolic partial differential equation that describes the distribution of heat or variation in temperature in a given region over time. This equation is used in many applications like hardware/software implementations for infrared thermography and so on. The problem can be solved by using many algorithms in order to converge as fast as possible. In this paper, the two dimensional heat equation problem is solved using three algorithms (Jacobi, Gauss Seidel and Red-Black) that are analyzed and simulated in order to estimate if they are feasible to be parallelized using a novel tool called Tareador. Additionally, the algorithms are executed in parallel using OpenMP, MPI and CUDA libraries comparing the results with the estimations simulated by Tareador. |
