KOJAK is a set of generic and interoperable tool components designed for the performance analysis of parallel applications. Their functionality addresses the entire analysis process including instrumentation, postprocessing of performance data, and result presentation. Particular emphasis is put on automation techniques to transform the collected data into a high-level view of performance behavior. As an essential part of the software, KOJAK provides an integrated event-trace analysis environment for MPI and OpenMP applications.

KOJAK Trace-Analysis Environment

The KOJAK trace-analysis environment is an automatic performance evaluation system for MPI, OpenMP, and hybrid applications. The environment includes tools for instrumentation, event-trace generation, and postprocessing of event traces. Its main feature is the ability to automatically diagnose sources of inefficient runtime behavior on a high level of abstraction.

For additional information and download please refer to the KOJAK software web page.


CONE is a call-graph profiler for MPI applications on AIX Power4 platforms which maps hardware-counter data onto the full call graph including line numbers. CONE is based on a run-time call-graph tracking technique developed by IBM that determines the current call path at run time while introducing only constant overhead. CONE uses CUBE to display its results.

For more information please refer to the CONE web page.


CUBE is a generic presentation component suitable for displaying a wide variety of performance metrics for parallel programs including MPI and OpenMP applications. CUBE allows interactive exploration of a multidimensional performance space in a scalable fashion. Scalability is achieved in two ways: hierarchical decomposition of individual dimensions and aggregation across different dimensions. All performance metrics are uniformly accommodated in the same display and thus provide the ability to easily compare the effects of different kinds of performance behavior.

For more information please refer to the CUBE web page.

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