Performance is an important quality attribute that needs to be and managed proactively. Abstract models of the system are not very useful if they do not produce reasonably accurat...
Gopalakrishna Raghavan, Ari Salomaki, Raimondas Le...
Confidence-Weighted linear classifiers (CW) and its successors were shown to perform well on binary and multiclass NLP problems. In this paper we extend the CW approach for sequen...
An analytical performance model for out of order issue superscalar micro-processors is presented. This model quantifies the performance impacts of micro-architecture design option...
This paper presents an analytical model to predict the performance of general-purpose applications on a GPU architecture. The model is designed to provide performance information ...
Sara S. Baghsorkhi, Matthieu Delahaye, Sanjay J. P...
Network performance analysis relies mainly on two models: a workload model and a performance model. This paper proposes to use histograms for characterising the arrival workloads ...