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Cover image for CubeGUI

CubeGUI

Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of the dimensions (i) performance metric, (ii) call path, and (iii) system resource.

  • High performance computing
  • Information
  • Performance Analysis
  • + 4
    7
    83
    Cover image for CubeLib

    CubeLib

    Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of the dimensions (i) performance metric, (ii) call path, and (iii) system resource.

    • High performance computing
    • Information
    • Performance Analysis
    • + 4
      4
      11
      Cover image for CubeW

      CubeW

      Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of the dimensions (i) performance metric, (ii) call path, and (iii) system resource.

      • High performance computing
      • Information
      • Performance Analysis
      • + 4
        4
        11
        Cover image for Scalasca

        Scalasca

        The Scalasca Trace Tools support performance optimization of parallel programs with a collection of highly scalable trace-based tools for in-depth analyses of concurrent behavior, in particular with respect to communication and synchronization, and offers guidance in exploring their causes.

        • hpc
        • Information
        • Performance Analysis
        • + 3
          16
          107
          Cover image for Score-P

          Score-P

          Score-P provides insight into massively parallel HPC applications, their communication, synchronization, I/O, and scaling behaviour to pinpoint performance bottlenecks and their causes.

          • hpc
          • Information
          • instrumentation
          • + 5
          • C
          • C++
          • M4Sugar
          • + 2
          39
          415