Data dependence analysis is a very difficult task, mainly due to the limitations imposed by pointer aliasing, and by the overhead of dynamic data dependence analysis. Despite the huge effort to devise improved data dependence analysis techniques, the problem is still far from solved. Efficient methods to reduce memory and time overhead imposed by dynamic instrumentation are thus required to enable fast and correct program parallelization. This paper presents a novel dynamic loopcarried dependence checker integrated as a new extension to OpenMP, the parallel for check construct, which can be used to help programmers identify the existence of loop-carried dependences in parallel for constructs.