Vampir meets SC15
Vampir comes to SC15 in Austin! Our performance visualizer for parallel programs provides graphical visualization of massively parallel applications. Learn how we walk the road to exascale at our booth #1351 from November 16 to November 19. Additionally, you can engage with our experts in various activities of the SC15 technical program. We showcase the latest version of our tool suite and introduce a sampling technology that drastically simplifies performance optimization.
At SC15 we unveil Vampir 9 that introduces new performance charts, customizable performance metrics, extended grouping and filtering, and new support for sampling traces.
Selected highlights include:
Vampir Website
Score-P is the primary code instrumentation and run-time measurement framework for Vampir 9, and also works natively with Scalasca, TAU, and Periscope. The latest version 2.0 provides numerous improvements and new features.
Selected highlights include:
Score-P Website
At SC15 we unveil Vampir 9 that introduces new performance charts, customizable performance metrics, extended grouping and filtering, and new support for sampling traces.
Selected highlights include:
- Combined visualization of instrumented and sampled events ensures a coherent performance analysis experience
- New sampling related statistics and counter metrics allow an even deeper understanding of measurement data and application behavior alike
- Enhanced visualization of customizable process groups allows easy analysis of idle times and further behavior that impacts performance.
- New process filter management allows comparative analysis of statistics from different process groups at the same time.
- Support for traces generated by Score-P 2.0
Vampir Website
Score-P is the primary code instrumentation and run-time measurement framework for Vampir 9, and also works natively with Scalasca, TAU, and Periscope. The latest version 2.0 provides numerous improvements and new features.
Selected highlights include:
- A new measurement feature records the full calling-context information for each event. This in combination with an all-new sampling technology allows Score-P to measure application behavior with very low overheads. Careful handling of parallel paradigm invocations ensures accurate timings for these events.
- Memory allocations and de-allocations are now monitored.
- A new timer infrastructure allows users to select the timer at measurement-time.
- New low-overhead timers improve the measurement of very fine-grain application behavior.
- New compiler wrappers greatly simplify the integration of Score-P into common build systems.
- Added support for CUDA 7.0 and onwards.
Score-P Website
Vampir
Vampir
Vampir Editions
Vampir Scalable
Vampir Monitoring
