KOJAK - a tool set for automatic performance analysis of parallel applications

Abstract. Today’s parallel computers with SMP nodes provide both multithread-ing and message passing as their modes of parallel execution. As a consequence, performance analysis and optimization becomes more difficult and creates a need for advanced performance tools that are custom made for this class of comput-ing environments. Current state-of-the-art tools provide valuable assistance in analyzing the performance of MPI and OpenMP programs by visualizing the run-time behavior and calculating statistics over the performance data. However, the developer of parallel programs is still required to filter out relevant parts from a huge amount of low-level information shown in numerous displays and map that information onto program abstractions without tool support. The KOJAK project (Kit for Objective Judgement and Knowledge-based Detec-tion of Performance Bottlenecks) is aiming at the development of a generic au-tomatic performance analysis environment for parallel programs. Performance problems are specified in terms of execution patterns that represent situations of inefficient behavior. These patterns are input for an analysis process that rec