This paper presents a new technique that enhances the process and the methodology used in a performance prediction analysis. An automatic dynamic instrumentation methodology is added to Warwick’s Performance Analysis and Characterization Environment PACE [1]. The automation process has eliminated the need to manually obtain application information and data. The Dynamic instrumentation has given...

In this paper a new Query Performance Prediction method is introduced. This method is based on the hypothesis that different score distributions appear for ‘hard’ and ‘easy’ queries. Following we propose a set of measures which try to capture the differences between both types of distributions, focusing on the dispersion degree among the scores. We have applied some variants of the classic stan...

{ Simulation studies are quite useful for performance prediction on new architectures and for systematic analysis of performance perturbations caused by variations in the machine parameters, such as communication latencies. Trace-driven simulation is necessary to avoid large computational costs over multiple simulation runs. However, trace-driven simulation of nondeterministic programs has turn...

This paper describes a mechanism to enable users of performance modeling tools to transfer models among a set of tools. This paper describes the evolution and definition of a basic PMIF. It describes how tool developers can implement the PMIF and how the export and import would work for users. A simple example illustrates the format. The paper describes how to extend the PMIF to add new feature...

a a ABSTRACT: Performance modeling for scientific production codes is of interest both for program tuning and for the selection of new machines. An empirical method is used for developing a model to predict the runtime of large parallel weather prediction programs. The different steps of the method are outlined giving examples from two different programs of the DWD (German Weather Service). The...

In recent years, many multivariable prediction models are proposed to deal with clinical uncertainty in both the diagnostic and prognostic settings.1 It is increasing the need to appraise the studies of the models to understand when and how to use.1 We can use PICO framework: Patients, Intervention, Comparator, and Outcome to deal with therapy studies.2 But there is no such formulation for pred...

In this paper we develop a method for predicting the performance of human-robot teams consisting of a single user and multiple robots. To predict the performance of a team, we first measure the neglect tolerance and interface efficiency of the interaction schemes employed by the team. We then describe a method that shows how these measurements can be used to estimate the team’s performance. We ...