The art of performance tuning is, alas, still an art; there are few tools to help predict the effects of changes that are motivated by performance needs. In this work, we present dynamic dependency modeling techniques for predicting the effects of configuration changes. These techniques utilize a simple, exterior model of the system under test, and only require codifying the nature of dependenc...

This paper presents the overall design of a multi-agent framework for tuning the performance of an application executing in a distributed environment. The multi-agent framework provides services like resource brokering, analyzing performance monitoring data, local tuning and also rescheduling in case of any performance problem on a specific resource provider. The paper also briefly describes th...

Writing large-scale parallel and distributed scientific applications that make optimum use of the multiprocessor is a challenging problem. Typically, computational resources are underused due to performance failures in the application being executed. Performance-tuning tools are essential for exposing these performance failures and for suggesting ways to improve program performance. In this pap...

Although there are many situations in which a model of application performance is valuable, performance modeling of parallel programs is not commonplace, largely because of the diiculty of developing accurate models of real applications executing on real multiprocessors. This paper describes a toolkit for performance tuning and prediction based on lost cycles analysis. Lost cycles analysis deco...

In response to the enormous and growing complexity of today’s high-end systems, the Performance Engineering Research Institute (PERI) is working toward automating portions of the performance tuning process by developing an autotuning framework. Our framework employs empirical techniques to identify the best-performing version of a computation among a search space of possible implementations. Th...

Performance is a crucial issue of parallel/distributed applications. One kind of useful tools, in this context, are the automatic performance analysis tools, that help developers in some of the phases of the performance tuning process. KappaPI 2 is an automatic performance tool, with open knowledge about typical inefficiencies in message passing applications, and it is able to detect and analyz...

Design and implementation of applications comprise an anticipation of what increased performance requirements might occur in future. However this is not a simple thing to do and resources are limited. Thus in practice it happens, that after some time of operation an application no more meets the increased performance requirements. Sometimes it turns out that the application has to be retired an...

Monitoring is an essential process to observe and improve the reliability and the performance of large-scale distributed multimedia (LDM) systems. Monitoring events generated by LDM systems is necessary for observing the run-time behavior of LDM systems and providing status information required for managing such applications. However, correlated events are generated concurrently and could be di...