Abstract
Systems simulated by using the SystemC language are usually parallel and, therefore, may contain synchronization errors. Data races make up one widespread type of synchronization errors. In this paper, an approach to data race error detection in SystemC programs based on the analysis of the static source code is proposed. Algorithms for analyzing SystemC programs without quantitative time are developed. These algorithms allow one to detect all the data races existing in the program. The efficiency of the approach is proved by the experimental results obtained from using the developed tool meant for error detection for a set of test programs.
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