This paper presents the first experimental results of the use of our new adaptive tool for synchronization, based on ordered read-write locks, ORWL. They provide a new synchronizing method for data-oriented parallel algorithms and are particularly suited for iterative pipelined algorithms with out-of-core data. We conducted experiments with the classic benchmarking Livermore Kernel~23 algorithm to validate the theoretical model and measure the efficiency of the first available implementation of ORWL in the parXXL library. They show that this tool is able to efficiently control an IO bound application running on 64 parallel POSIX threads with tight data dependencies between them.