RMP tool

The computing of applications in embedded devices suffers tight constraints on computation and energy resources. Thus, applications spending long execution time and large energy consumption of embedded applications are not acceptable by users. The existing execution time and energy profiling tools can help developers to identify the bottlenecks of applications. However, the profiling tools need large memory space to store detailed profiling results at run time, causing that they are infeasible on embedded devices. In this thesis, a reconfigurable multi-resolution profiling (RMP) tool is proposed to handle the issue on off-the-shelf product devices. It instruments all profiling points into source code of targeted applications and configures the profiling points to change the profiling scope for filtering out useless profiling results to reduce the amount of profiling results.