Vampir meets SC24
We would like to welcome you at SC24 in Atlanta! Our performance visualizer for parallel programs provides graphical visualization of massively parallel applications. Learn how we walk the road to exascale at our booth #3931 from November 17 to November 22 where we are happy to showcase you latest version of our tool suite. Additionally, you can engage with our experts in various activities of the SC24 technical program.
At SC24 we unveil Vampir 10.6 that provides support for visualizing workflow analysis based on the WfCommons format. Another new features include holistic metric visualizations across the system topology and a prototype to aggregate such metrics across multiple locations.
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, HIP, OpenCL, OpenACC).
Score-P Website
At SC24 we unveil Vampir 10.6 that provides support for visualizing workflow analysis based on the WfCommons format. Another new features include holistic metric visualizations across the system topology and a prototype to aggregate such metrics across multiple locations.
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, HIP, OpenCL, OpenACC).
Score-P Website
Our events on SC24
| Time | Room | Type | Title |
|---|---|---|---|
| Mon, 18th November 11:35 AM - 11:52 PM | B311 | Workshop | Analyzing HPC Utilization with PIKA and Vampir |
| Tue, 19th November 12:00 PM - 05:00 PM | B302-B305 | Research Posters | JUmPER: Performance Data Monitoring, Instrumentation and Visualization for Jupyter Notebooks |
| Tue, 19th November 12:00 PM - 05:00 PM | B302-B305 | Research Posters | Large Genomic Language Models: Towards Their Hyperparameter Optimization |
| Fri, 22nd November 11:00 AM - 11:30 AM | B315 | Workshop | JUmPER: Performance Data Monitoring, Instrumentation and Visualization for Jupyter Notebooks |
