June 18–22, 2017, Frankfurt, Germany

Vampir meets ISC 2017

We would like to welcome you at ISC High Performance 2017 in the city of Frankfurt! Our performance visualizer for parallel programs provides graphical visualization of massively parallel applications. Learn how we walk the road to exascale at our booth J-622 from June 18 to June 22. Additionally, you can engage with our experts in various activities of the ISC 2017 technical program. We showcase the latest version of our tool suite and introduce a sampling technology that drastically simplifies performance optimization.

At ISC 2017 we unveil Vampir 9.3 that provides new performance charts, customizable performance metrics, extended grouping and filtering, and new support for sampling traces.

Today, the combined handling and visualization of instrumented and sampled event traces generated by Score-P enables an outstanding performance analysis capability of highly-parallel applications. Event and sampling-based statistics or counter metrics and a set of continuously extended and improved interactive visualizations in Vampir allow a detailed understanding of the complex application behavior. Current developments also include the analysis of memory and I/O behavior that often impacts an application's performance. In the near future, Vampir will introduce support for the in-situ analysis of running applications.

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.

It supports an extensive set of events such as function and library calls, communication events, and hardware counters. Score-P supports various instrumentation methods, including instrumentation at source level and at compile/link time. Recently, experimental support for sampling has been added. Vampir and Score-P provide a performance tool framework with special focus on highly-parallel applications. Performance data is collected from multi-process (MPI, SHMEM), thread-parallel (OpenMP, Pthreads), as well as accelerator-based paradigms (CUDA, OpenCL, OpenACC).

Score-P Website

Our events on International Supercomputing Conference 2017

Sun, 18th June
09:00 AM - 06:00 PM
Analog 1, ForumTutorialUnderstanding & Improving I/O Performance on HPC Systems
Sun, 18th June
09:00 AM - 06:00 PM
Analog 2, ForumTutorialHands-on Practical Hybrid Parallel Application Performance Engineering
Tue, 20th June
08:35 PM - 09:45 PM
Substanz 1+2PosterEvent Pattern Identification in Anonymized System Logs
Wed, 21st June
03:46 PM - 04:45 PM
Panorama 2, Messe FrankfurtPanelEnergy Efficiency in HPC
Thu, 22nd June
09:00 AM - 06:00 PM
Megabyte, Frankfurt Marriot HotelWorkshopEnergy-Aware High Performance Computing (EnA-HPC)


  • Counter Data
  • Message Matrix
  • Performance Data Overlay
  • Performance Data Overlay
  • Multiple Timelines
  • Understanding your program?
  • Message Stats
  • Counter-Call-Tree
  • Process Stats
  • Summary
  • Function summary