2026-06-06T17:42:59Zhttps://uvadoc.uva.es/oai/requestoai:uvadoc.uva.es:10324/704332025-02-20T10:21:21Zcom_10324_1165com_10324_931com_10324_894col_10324_1335
UVaDOC
author
Aldea López, Sergio
author
Llanos Ferraris, Diego Rafael
author
González Escribano, Arturo
2024-10-04T14:42:14Z
2024-10-04T14:42:14Z
2014
The Journal of Supercomputing, Vol. 68, Issue 3, June 2014, pags. 1378-1401. ISSN 0920-8542
0920-8542
https://uvadoc.uva.es/handle/10324/70433
10.1007/s11227-014-1091-3
1378
3
1401
The Journal of Supercomputing
68
1573-0484
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.
eng
Informática
The BonaFide C Analyzer: automatic loop-level characterization and coverage measurement
info:eu-repo/semantics/article
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