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Framework for a productive performance optimization

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10.1016/j.parco.2013.05.004
 
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hdl:2117/20012

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Servat, Harald
Llort, German
Huck, Kevin A.
Giménez Lucas, JuditMés informació
Labarta Mancho, Jesús JoséMés informacióMés informacióMés informació
Document typeArticle
Defense date2013-08
Rights accessRestricted access - publisher's policy
Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain
ProjectPRACE-2IP - PRACE (EC-FP7-283493)
HIPEAC - High Performance and Embedded Architecture and Compilation (EC-FP7-287759)
Abstract
Modern supercomputers deliver large computational power, but it is difficult for an application to exploit such power. One factor that limits the application performance is the single node performance. While many performance tools use the microprocessor performance counters to provide insights on serial node performance issues, the complex semantics of these counters pose an obstacle to an inexperienced developer. We present a framework that allows easy identification and qualification of serial node performance bottlenecks in parallel applications. The output of the framework is precise and it is capable of correlating performance inefficiencies with small regions of code within the application. The framework not only points to regions of code but also simplifies the semantics of the performance counters into metrics that refer to processor functional units. With such information the developer can focus on the identified code and improve it by knowing which processor execution unit is degrading the performance. To demonstrate the usefulness of the framework we apply it to three already optimized applications using realistic inputs and, according to the results, modify their source code. By doing modifications that require little effort, we successfully increase the applications’ performance from 10% to 30% and thus shorten the time required to reach the solution and/or allow facing increased problem sizes.
CitationServat, H. [et al.]. Framework for a productive performance optimization. "Parallel computing", Agost 2013, vol. 39, núm. 8, p. 336-353. 
URIhttp://hdl.handle.net/2117/20012
DOI10.1016/j.parco.2013.05.004
ISSN0167-8191
Publisher versionhttp://www.sciencedirect.com/science/article/pii/S0167819113000707
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  • Departament d'Arquitectura de Computadors - Articles de revista [957]
  • CAP - Grup de Computació d'Altes Prestacions - Articles de revista [380]
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