Difference between revisions of "Vampir"
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| − | Vampir is a framework for performance analysis, which enables developers to quickly study program behavior at a fine level of detail. Performance data obtained from a parallel program run can be analyzed with a collection of specialized performance views. Intuitive navigation and zooming are the key features of the tool, which help to quickly identify inefficient or faulty parts of a program code. | + | "Vampir is a framework for performance analysis, which enables developers to quickly study program behavior at a fine level of detail. Performance data obtained from a parallel program run can be analyzed with a collection of specialized performance views. Intuitive navigation and zooming are the key features of the tool, which help to quickly identify inefficient or faulty parts of a program code."[https://tu-dresden.de/zih/forschung/projekte/vampir] |
| − | An important and unique feature of Vampir is its intuitive and interactive graphical representation of detailed performance event recordings over time (timelines) and as aggregated profiles. Extensive searching and filtering capabilities allow to quickly identify critical bottlenecks. In contrast to traditional profiling the details that caused a problem remain close at hand. The performance charts include rich sets of performance information and can be customized to the needs of both beginners and experts. | + | "An important and unique feature of Vampir is its intuitive and interactive graphical representation of detailed performance event recordings over time (timelines) and as aggregated profiles. Extensive searching and filtering capabilities allow to quickly identify critical bottlenecks. In contrast to traditional profiling the details that caused a problem remain close at hand. The performance charts include rich sets of performance information and can be customized to the needs of both beginners and experts."[https://tu-dresden.de/zih/forschung/projekte/vampir] |
| − | The scalable analysis backend VampirServer addresses very large performance analysis scenarios on supercomputers. Its objective is to ousource data intensive analysis operations from the Vampir user interface to powerful server hardware. | + | "The scalable analysis backend VampirServer addresses very large performance analysis scenarios on supercomputers. Its objective is to ousource data intensive analysis operations from the Vampir user interface to powerful server hardware."[https://tu-dresden.de/zih/forschung/projekte/vampir] |
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| + | "Today, performance monitoring environments like Score-P, VampirTrace or TAU can produce trace files that are readable by Vampir. Vampir supports the new Open Trace Format 2 (OTF2) developed by a consortium of performance tool providers and the traditional Open Trace Format (OTF) that is developed by ZIH. Both formats have been specifically designed for performance data of massively parallel programs. OTF2 comes with the additional benefit of being an interchangeable cross-tool format."[https://tu-dresden.de/zih/forschung/projekte/vampir] | ||
== References == | == References == | ||
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Product-related information [https://www.vampir.eu] | Product-related information [https://www.vampir.eu] | ||
Revision as of 13:03, 10 October 2017
"Vampir is a framework for performance analysis, which enables developers to quickly study program behavior at a fine level of detail. Performance data obtained from a parallel program run can be analyzed with a collection of specialized performance views. Intuitive navigation and zooming are the key features of the tool, which help to quickly identify inefficient or faulty parts of a program code."[1]
"An important and unique feature of Vampir is its intuitive and interactive graphical representation of detailed performance event recordings over time (timelines) and as aggregated profiles. Extensive searching and filtering capabilities allow to quickly identify critical bottlenecks. In contrast to traditional profiling the details that caused a problem remain close at hand. The performance charts include rich sets of performance information and can be customized to the needs of both beginners and experts."[2]
"The scalable analysis backend VampirServer addresses very large performance analysis scenarios on supercomputers. Its objective is to ousource data intensive analysis operations from the Vampir user interface to powerful server hardware."[3]
"Today, performance monitoring environments like Score-P, VampirTrace or TAU can produce trace files that are readable by Vampir. Vampir supports the new Open Trace Format 2 (OTF2) developed by a consortium of performance tool providers and the traditional Open Trace Format (OTF) that is developed by ZIH. Both formats have been specifically designed for performance data of massively parallel programs. OTF2 comes with the additional benefit of being an interchangeable cross-tool format."[4]
References
Product-related information [5]