Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/70433
Título
The BonaFide C Analyzer: automatic loop-level characterization and coverage measurement
Año del Documento
2014
Editorial
Springer
Descripción
Producción Científica
Documento Fuente
The Journal of Supercomputing, Vol. 68, Issue 3, June 2014, pags. 1378-1401. ISSN 0920-8542
Resumo
The advent of multicore technologies has increased the interest in parallelization techniques for existing sequential applications. These techniques include the need of detecting loops that are good candidates for parallelization, and classifying all variables of these loops according to their use, a task surprisingly hard to be carried out manually. In this paper, we introduce the BonaFide C Analyzer, an XML-based framework that combines static analysis of source code with profiling information to generate complete reports regarding all loops in a C application, including loop coverage, loop suitability for parallelization, a classification of all variables inside loops based on their accesses, and other hurdles that restrict the parallelization. This information allows to analyze how particular language constructs are used in real-world applications, and helps the programmer to parallelize the code. To show the features of the framework, we present the results of an in-depth loop characterization of C applications that are part of the SPEC CPU2006 benchmark suite. Our study shows that 47.72 % of loops present in the applications analyzed are potentially parallelizable with existent parallel programming models such as OpenMP, while an additional 37.7 % of loops could be run in parallel with the help of runtime speculative parallelization techniques.
Materias (normalizadas)
Informática
Materias Unesco
1203 Ciencia de Los Ordenadores
3304 Tecnología de Los Ordenadores
Palabras Clave
Automatic parallelization
Code analysis
Compiler framework
Profiling information
Source code representation
Source transformation
XML
ISSN
0920-8542
Revisión por pares
SI
Patrocinador
This research is partly supported by the Castilla-Leon Regional Government (VA172A12-2); Ministerio de Industria, Spain (CENIT OCEANLIDER); MICINN (Spain) and the European Union FEDER (MOGECOPP project TIN2011-25639, CAPAP-H3 network TIN2010-12011-E, CAPAP-H4 network TIN2011-15734-E). Sergio Aldea is supported by a research grant (EDU/1204/2010) of Consejería de Educación, Junta de Castilla y León, Spain, and the European Social Fund.
Version del Editor
Idioma
eng
Tipo de versión
info:eu-repo/semantics/publishedVersion
Derechos
openAccess
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