Performance analysis is very important to understand the applications’ behavior and to identify bottlenecks. Performance analysis tools should facilitate the exploration of the data collected and help to identify where the analyst has to look. While this functionality can promote the tools usage on small and medium size environments, it becomes mandatory for large-scale and many-core systems where the amount of data is dramatically increased. This paper proposes a new methodology based on the integration of profilers and timeline tools to improve and facilitate the performance analysis process.Peer ReviewedPostprint (published version
We have developed a distributed service architecture and an integrated parallel analysis engine for ...
A powerful and widely-used method for analyzing the performance behavior of parallel programs is eve...
One of the important phases of parallel programming is performance analysis. Trace data provides inf...
Performance analysis is very important to understand the applications’ behavior and to identify bott...
In this paper, we introduce an instrumentation and visualisation tool that can be used to assist in ...
This work introduces a method for instrumenting applications. producing execution traces. and visual...
The emergence of Petascale systems has raised new challenges to performance analysis tools. Understa...
Modern supercomputers with multi-core nodes enhanced by accelerators, as well as hybrid programming ...
With rising complexity of high performance computing systems and their parallel software, performanc...
A powerful and widely-used method for analyzing the performance behavior of parallel programs is ev...
Abstract. Automatic trace analysis is an effective method of identifying complex performance phenome...
Performance evaluation tools enable analysts to shed light on how applications behave both from a ge...
Understanding the behavior of software in execution is a key step in identifying and fixing performa...
Although performance analysis is one of the most important phase of High Perfor-mance Computing appl...
Achieving a significant fraction of peak performance on a modern high-performance computer is a chal...
We have developed a distributed service architecture and an integrated parallel analysis engine for ...
A powerful and widely-used method for analyzing the performance behavior of parallel programs is eve...
One of the important phases of parallel programming is performance analysis. Trace data provides inf...
Performance analysis is very important to understand the applications’ behavior and to identify bott...
In this paper, we introduce an instrumentation and visualisation tool that can be used to assist in ...
This work introduces a method for instrumenting applications. producing execution traces. and visual...
The emergence of Petascale systems has raised new challenges to performance analysis tools. Understa...
Modern supercomputers with multi-core nodes enhanced by accelerators, as well as hybrid programming ...
With rising complexity of high performance computing systems and their parallel software, performanc...
A powerful and widely-used method for analyzing the performance behavior of parallel programs is ev...
Abstract. Automatic trace analysis is an effective method of identifying complex performance phenome...
Performance evaluation tools enable analysts to shed light on how applications behave both from a ge...
Understanding the behavior of software in execution is a key step in identifying and fixing performa...
Although performance analysis is one of the most important phase of High Perfor-mance Computing appl...
Achieving a significant fraction of peak performance on a modern high-performance computer is a chal...
We have developed a distributed service architecture and an integrated parallel analysis engine for ...
A powerful and widely-used method for analyzing the performance behavior of parallel programs is eve...
One of the important phases of parallel programming is performance analysis. Trace data provides inf...