November 13-18, 2016, Salt Lake City, Utah

Vampir meets SC16

Vampir comes to SC16 in Salt Lake City! Our performance visualizer for parallel programs provides graphical visualization of massively parallel applications. Learn how we walk the road to exascale at our booth #3624 from November 13 to November 18. Additionally, you can engage with our experts in various activities of the SC16 technical program. We showcase the latest version of our tool suite and introduce a sampling technology that drastically simplifies performance optimization.

At SC16 we unveil Vampir 9.2 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 SuperComputing 2016

Sun, 13th November
08:30 AM - 05:00 PM
250-DTutorialEfficient Parallel Debugging for MPI, Threads, and Beyond
Sun, 13th November
09:00 AM - 05:30 PM
155-CWorkshopSeventh Annual Workshop for the Energy Efficient HPC Working Group (EE HPC WG)
Mon, 14th November
08:30 AM - 05:00 PM
250-BTutorialHands-On Practical Hybrid Parallel Application Performance Engineering
Tue, 15th November
10:30 AM - 11:00 PM
355-BCPaperScheduling-Aware Routing for Supercomputers
Tue, 15th November
05:15 PM - 07:00 PM
255-BCBirds of a FeatherEnergy Efficiency Considerations and HPC Procurement
Tue, 15th November
05:15 PM - 07:00 PM
Lower Lobby Concourse, Exhibit Hall E - Booth 104Poster53. Turning Privacy Constraints into Syslog Analysis Advantage
Fri, 18th November
08:30 AM - 12:00 PM
355-EWorkshop3rd International Workshop on Visual Performance Analytics – VPA 2016


  • 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