November 12-17, 2017, Denver, Colorado

Vampir meets SC17

Vampir comes to SC17 in Denver! Our performance visualizer for parallel programs provides graphical visualization of massively parallel applications. Learn how we walk the road to exascale at our booth #1881 from November 13 to November 16. Additionally, you can engage with our experts in various activities of the SC17 technical program. We showcase the latest version of our tool suite and introduce a sampling technology that drastically simplifies performance optimization.

At SC17 we unveil Vampir 9.4 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). Highlights of the latest Score-P version include support for CUDA 9.0 and Tesla V100.

Score-P Website

Our events on SuperComputing 2017

Sun, 12th November
08:30 AM - 05:00 PM
405TutorialHands-On Practical Hybrid Parallel Application Performance Engineering
Sun, 12th November
09:00 AM - 05:30 PM
506WorkshopWorkshop on Extreme-Scale Programming Tools (ESPT)
Sun, 12th November
09:00 AM - 05:30 PM
704-706WorkshopEighth Annual Workshop for the Energy Efficient HPC Working Group (EE HPC WG)
Mon, 13th November
09:00 AM - 05:00 PM
502WorkshopLLVM-HPC2017: Fourth Workshop on the LLVM Compiler Infrastructure in HPC - An LLVM Instrumentation Plug-In for Score-P
Tue, 14th November
05:15 PM - 07:00 PM
Four Seasons BallroomPosterAnalyzing Multi-Layer I/O Behavior of HPC Applications
Tue, 14th November
05:15 PM - 07:00 PM
Four Seasons BallroomPosterMeasuring I/O Behavior on Upcoming Systems with NVRAM
Tue, 14th November
05:15 PM - 07:00 PM
Four Seasons BallroomPosterContinuous Clock Synchronization for Accurate Performance Measurements
Wed, 15th November
03:30 PM - 04:00 PM
301-302-303PaperTowards Fine-Grained Dynamic Tuning of HPC Applications on Modern Multi-Core Architectures
Thu, 16th November
12:15 PM - 01:15 PM
501-502Birds of a FeatherMachine Learning for Parallel Performance Analytics


  • 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