Analyzing parallel programs has become increasingly difficult due to the immense amount of information collected on large systems. The use of clustering techniques has been proposed to analyze… (More)
Knowing the performance of an application in a Grid environment is an important issue in application development and for scheduling decisions. In this paper we describe the analysis and optimisation… (More)
In this paper we describe how to apply powerful performance analysis techniques to understand the behavior of multilevel parallel applications. We use the Paraver/OMPltrace performance analysis… (More)
With larger and larger systems being constantly deployed, trace-based performance analysis of parallel applications has become a challenging task. Even if the amount of performance data gathered per… (More)
Performance evaluation tools enable analysts to shed light on how applications behave both from a general point of view and at concrete execution points, but cannot provide detailed information… (More)
Detailed simulations of large scale message-passing interface parallel applications are extremely time consuming and resource intensive. A new methodology that combines signal processing and data… (More)
To maximise the scientific output of a high-performance computing system, different stakeholders pursue different strategies. While individual application developers are trying to shorten the time to… (More)
As access to supercomputing resources is becoming more and more commonplace, performance analysis tools are gaining importance in order to decrease the gap between the application performance and the… (More)