Vampir meets International Supercomputing Conference 2016

Vampir meets ISC 2016

We would like to welcome you at ISC High Performance 2016 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 #1250 from June 19 to June 23. Additionally, you can engage with our experts in various activities of the ISC 2016 technical program. We showcase the latest version of our tool suite and introduce a sampling technology that drastically simplifies performance optimization.

At ISC 2016 we unveil Vampir 9.1 that introduces new performance charts, customizable performance metrics, extended grouping and filtering, and new support for sampling traces.
Selected highlights include:

Combined visualization of instrumented and sampled events ensures a coherent performance analysis experience
Sampling related statistics and counter metrics allow an even deeper understanding of measurement data and application behavior alike
New visualization of the system tree together with summarized metric values and the usage of customizable process groups simplify the analysis of the parallel behavior that impacts performance.
Support for traces generated by Score-P 3.0.

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.
The latest version 3.0 provides numerous improvements and new features.
Selected highlights include:

Support for instrumentation of OpenACC codes based on the profiling interface specified in OpenACC 2.5.
Extract enhanced topology information from the Slurm topology tree plugin.

Score-P Website

Additional information material

Vampir
Quick Start
Guide The Vampir performance visualizer allows users to quickly analyze the runtime behavior of a parallel program. Scalable graphical data representation leverages the powerful human visual perception. Interactive navigation facilitates the rapid identification of inefficient or incorrect parts of a program.

Vampir

Vampir Editions

Performance data originating from large-scale parallel applications can easily reach volumes in the order of hundreds of gigabytes. Interactive visualization and analysis of such data volumes require a parallel and highly scalable analysis engine. The Vampir tool chain addresses this issue with a parallel analysis component called VampirServer. Developers can interact with VampirServer from their desktop using the Vampir GUI as a performance data browser.

Vampir Scalable
Trace Analyse Collecting performance data in a scalable and efficient fashion is a highly challenging task. With the Score-P performance monitor Vampir supports a convenient measurement infrastructure for recording fine-grained performance events, with special focus on parallel applications.

Collecting performance data in a scalable and efficient fashion is a highly challenging task. With the Score-P performance monitor Vampir supports a convenient measurement infrastructure for recording fine-grained performance events, with special focus on parallel applications.

Vampir Monitoring
with Score-P

Our events on International Supercomputing Conference 2016

Time	Room	Type	Title
Sun, 19th June 09:00 AM - 06:00 PM	Analog 1, Forum	Tutorial	Hands-on Practical Hybrid Parallel Application Performance Engineering
Mon, 20th June 01:00 PM - 03:00 PM	Panorama 1, Forum	PhD Forum	Toward Resilience in HPC: A Prototype to Analyze & Predict System Behavior
Thu, 23rd June 09:00 AM - 01:00 PM	Ampere, Marriott Hotel	Energy-Aware High Performance Computing (EnA-HPC)	Hands-on Practical Hybrid Parallel Application Performance Engineering

Screenshots

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