ompVerify: Polyhedral Analysis for the OpenMP Programmer. We describe a static analysis tool for OpenMP programs integrated into the standard open source Eclipse IDE. It can detect an important class of common data-race errors in OpenMP parallel loop programs by flagging incorrectly specified omp parallel for directives and data races. The analysis is based on the polyhedral model, and covers a class of program fragments called Affine Control Loops (ACLs, or alternatively, Static Control Parts, SCoPs). ompVerify automatically extracts such ACLs from an input C program, and then flags the errors as specific and precise error messages reported to the user. We illustrate the power of our techniques through a number of simple but non-trivial examples with subtle parallelization errors that are difficult to detect, even for expert OpenMP programmers.

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References in zbMATH (referenced in 2 articles )

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  1. Ye, John; Yan, Hui; Hou, Honglun; Chen, Tianzhou: Potential thread-level-parallelism exploration with superblock reordering (2014) ioport
  2. Basupalli, V.; Yuki, T.; Rajopadhye, S.; Morvan, A.; Derrien, S.; Quinton, P.; Wonnacott, D.: \textttompVerify: Polyhedral analysis for the OpenMP programmer (2011) ioport