June 22–26, 2026, Hamburg, Germany

Vampir meets ISC 2026

We would like to welcome you at ISC High Performance 2026 in the city of Hamburg! Our performance visualizer for parallel programs provides graphical visualization of massively parallel applications. We welcome you at our Booth G12 from June 22 to June 26 where we showcase the latest version of our tool suite. Additionally, you can engage with our experts in various activities of the ISC 2026 program.
At ISC 2026 we unveil Vampir 10.9 that provides support for MPI-threaded application in combination with the new Score-P 10.0 release. Additionally, we are presenting the new Flame Graph chart.
Vampir Website

Score-P is the primary code instrumentation and run-time measurement framework for Vampir 10, and also works natively with Scalasca and TAU.
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. 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, HROCmIP, OpenCL, OpenACC).

Score-P Website

Our events on ISC High Performance 2026

TimeRoomTypeTitle
Fri, 26th June
09:00 AM - 06:00 PM
Hall X6 - 1st FloorWorkshopAI on HPC: Performance Engineering, Challenges and Opportunities
Fri, 26th June
09:00 AM - 01:00 PM
Hall X4 - 1st FloorTalkLeveraging LLMs Across the HPC Software Stack
Fri, 26th June
09:00 AM - 01:00 PM
Hall X8 - 1st FloorWorkshopWorkshop on Sustainable Practices for Reproducibility in HPC
Tue, 23rd June
03:15 AM - 04:00 PM
Walking TalkFacility Operations: Liquid Cooling & Heat Reuse
Fri, 26th June
09:00 AM - 01:00 PM
Hall X9 - 1st FloorWorkshopSeventh Workshop on Interactive and Urgent High-Performance Computing

Introductory Video to Vampir

Screenshots

  • Understanding your program?
  • Message Stats
  • Counter-Call-Tree
  • Function Summary stats
  • Communication Matrix
  • GPU System Tree zoom
  • Summary Timeline
  • Marker View
  • Compare View
  • Open Dialog
  • Flame Grpah View (Prototype)
  • Chrome Event Trace from a PyTorch Application
  • Workflow View for a wfcommons File (Prototype)