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The runtimes for OpenMP depend on several factors, such as the number of threads used, the complexity of the parallel code, and the hardware used. In general, OpenMP can provide significant performance gains for code that is highly parallelizable, and can scale well with a large number of threads on parallel hardware such as multi-core CPUs and GPUs. However, the overhead associated with thread synchronization and data transfers can also limit the performance gains when using OpenMP. Ultimately, the runtimes for OpenMP will vary depending on the specific application and hardware configuration used.