For the effective development of applications running on massively parallel systems, efficient
but reliable performance predictions are required. However, existing performance …

Nowadays, parallel architectures are changing so fast that there is a need for scalable and
efficient tools to analyze and predict the performance of parallel applications. Analytical …

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

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This report describes the results of preliminary research in the eld of probabilistic
performance modelling of parallel applications. The work was carried out as part of the …

Predicting the performance of an application running on parallel computing platforms is
increasingly becoming important because of its influence on development time and resource …

A compile-time technique is outlined that yields low-cost, analytic performance models,
intended for crude scalability analysis and first-order system design. The approach extends …

In this thesis we develop an analytical performance model for parallel computer systems.
This model is built on three abstract performance elements; loading intensity, contention …

The main objective of this dissertation is development of approximate analytic models for
performance prediction of a class of parallel computations executed on shared-memory …

Today's massively parallel machines are typically message passing systems consisting of
hundreds or thousands of processors. Implementing parallel applications efficiently in this …