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Performance prediction for a code with data-dependent runtimes

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Foley, Brian Patrick, Spooner, Daniel P., Isitt, P. J., Jarvis, Stephen A. and Nudd, G. R. (2005) Performance prediction for a code with data-dependent runtimes. In: UK e-Science All Hands Conference : Innovating through e-Science, Nottingham, UK, 19-22 Sep 2005

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Abstract

In this paper we present a preliminary predictive model for a key biomedical imaging application in the UK e-Science IXI (Information eXtraction from Images) project. This code represents a significant challenge for our existing performance prediction tools as it has internal structures that exhibit highly variable runtimes depending on qualities in the input data provided. Since the runtime can vary by more than an order of magnitude, it has been difficult to apply meaningful quality of service criteria to workflows that use this code. The model developed here is used in the context of an interactive scheduling system which provides rapid feedback to the users, allowing them to tailor their workloads to available resources, or to allocate extra resources to scheduled workloads.

Item Type: Conference Item (Paper)
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions: Faculty of Science, Engineering and Medicine > Science > Computer Science
Official Date: September 2005
Dates:
DateEvent
September 2005Published
Status: Peer Reviewed
Publication Status: Published
Date of first compliant deposit: 2 February 2017
Conference Paper Type: Paper
Title of Event: UK e-Science All Hands Conference : Innovating through e-Science
Type of Event: Conference
Location of Event: Nottingham, UK
Date(s) of Event: 19-22 Sep 2005
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