In this paper, we studied the NUMA architecture and memory access patterns presented by applications executing in this architecture. We developed a tool to parse the source code of a target application and produce traces about which memories of the NUMA node were accessed and in which order. Based on these traces, we expect to get insights into strategies to optimize the performance of the target applications. We will apply this tool to improve the performance of a wave equation simulator which is the kernel of a seismic imaging application for the Oil and Gas industry.