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...

The Microsystems Subgrid Physics project is intended to address gaps between developing high-performance modeling and simulation capabilities and microdomain specific physics. The initial effort has focused on incorporating electrostatic excitations, adhesive surface interactions, and scale dependent material and thermal properties into existing modeling capabilities. Developments related to ea...

In Microblog retrieval, a system’s ability to know when to ”shut up” and how many results to return for a given query can have huge impact on its performance [1]. In addition, since relevant but redundant tweets will be deemed as irrelevant, it is also important to detect whether a tweet contain novel information or not. Therefore, in this year’s Real-Time Summarization Track, we focus on estim...

Improved Feedback for Architectural Performance Prediction using Software Cartography Visualizations Klaus Krogmann (Universität Karlsruhe (TH), Germany), Christian M. Schweda (Technische Universität München, Germany), Sabine Buckl (Technische Universität München, Germany), Michael Kuperberg (Universität Karlsruhe, Germany), Anne Martens (Universität Karlsruhe (TH), Germany) and Florian Matthes...

Conventional performance environments are based on pro ling and event instrumentation. It becomes problematic as parallel systems scale to hundreds of nodes and beyond. A framework of developing an integrated performance modeling and prediction system, SCALability Analyzer (SCALA), is presented in this study. In contrast to existing performance tools, the program performance model generated by ...

The paper describes the configuration of a synchronization link sharing hardware components with the SAR instrument. Such a system is intended for the TanDEM-X mission. The resulting restrictions on the phase synchronization scheme, timing, and accuracy are investigated. The statistical properties of the phase compensation signal are used to derive a figure-of-merit for synchronization performa...

Distributed systems are available and provide vast compute and data resources to users. With the availability of multiple resources, one of the major issues to be addressed is site selection. Users have access to many resource sites from which to select for execution of applications. In this paper, we quantify the advantages of using performance prediction to select sites as compared to using l...