Analysis and Visualization of the Dynamic Behavior of HPC Applications

摘要

The behavior of a parallel application can be presented in many ways, but performance visualization tools usually focus on communication graphs and runtime of processes or threads in specific (groups of) functions. A different approach is required when searching for the optimal configuration of tunable parameters, for which it is necessary to run the application several times and compare the resource consumption of these runs. We present RADAR visualizer, a tool that was originally developed to analyze such measurements and to detect the optimal configuration for each instrumented part of the code. In this case, the optimum was defined as the minimum energy consumption of the whole application, but any other metric can be defined. RADAR visualizer presents the application behavior in several graphical representations and tables including the amount of savings that can be reached. Together with our MERIC library, we provide a complete toolchain for HPC application behavior monitoring, data analysis, and graphical representation. The final part is performing dynamic tuning (applying optimal settings for each region during the application runtime) for the production runs of the analyzed application.