Symbolic performance modeling of parallel systems

Symbolic Performance Modeling of Parallel Systems

Performance prediction is an important engineering tool that provides valuable feedback on design choices in program synthesis and machine architecture development. We present an analytic performance modeling approach aimed to minimize prediction cost, while providing a prediction accuracy that is sufficient to enable major code and data mapping decisions. Our approach is based on a performance...

A Probabilistic Approach to Symbolic Performance Modeling of Parallel Systems

Dit proefschrift is goedgekeurd door de promotor: Numerous people have been contributed in several ways to establish the results presented here. I would like take the opportunity to thank them. First of all, I like to thank Dr.ir. Arjan van Gemund for giving me the opportunity to do this research. I am deeply grateful to him for being my goeroe, for his guidance and help during the project, for...

Performance Modeling of Parallel Systems :

Modeling Parallel Applications Performance on Heterogeneous Systems

The current technologies have made it possible to execute parallel applications across heterogeneous platforms. However, the performance models available do not provide adequate methods to calculate, compare and predict the applications performance on these platforms. In this paper, we discuss an enhanced performance evaluation model for parallel applications on heterogeneous systems. In our an...

Toward Symbolic Performance Prediction of Parallel Programs

Critical analyses in performance estimators for parallel programs require an algorithm that count the number of integer solutions to a set of inequalities. Most current performance estimators are restricted to linear inequalities for this analysis. In this paper we describe a symbolic algorithm which can estimate the number of integer solutions to a set of both linear and non-linear inequalitie...