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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) | ||||
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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: |
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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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