The study of real discrete event systems requires the use of models to cope with complexity
and large scale. The only way to understand and analyse their behaviour prior to …

Error detection and performance analysis of parallel programs is tedious and difficult,
especially in massively-parallel environments. Many concurrently executing and …

This paper proposes a new methodology for the construction of integrated hardware-
software GSPN models. The PSR methodology is an extension of the Process/Resource Box …

Performance is often a key factor in determining the success of a parallel software system.
Performance evaluation techniques can be classified into three categories: measurement …

The realization of parallel language systems that offer high-level programming paradigms to
reduce the complexity of application development, scalable runtime mechanisms to support …

The article describes P/sup 3/T, a parameter-based performance prediction tool that
estimates performance for parallel programs running on distributed-memory parallel …

Parallel algorithms are problematic to develop because of the negative influence of
synchronisation, complicated behaviour of threads' capturing computing resources …

Performance evaluation studies are to be an integral part of the design and tuning of parallel
applications. We propose a hierarchical approach to the systematic characterization of the …

This paper discusses the issues related to the accuracy of performance prediction tools for
message passing programs. We present the results of two sets of experiments to quantify the …

In the development of efficient parallel applications, reliable performance predictions are
essential. However, many performance modelling formalisms, such as queueing networks …