  Efficient and robust anisotropic mesh adaptation is crucial for Computational
Fluid Dynamics (CFD) simulations. The CFD Vision 2030 Study highlights the
pressing need for this technology, particularly for simulations targeting
supercomputers. This work applies a fine-grained speculative approach to
anisotropic mesh operations. Our implementation exhibits more than 90% parallel
efficiency on a multi-core node. Additionally, we evaluate our method within an
adaptive pipeline for a spectrum of publicly available test-cases that includes
both analytically derived and error-based fields. For all test-cases, our
results are in accordance with published results in the literature. Support for
CAD-based data is introduced, and its effectiveness is demonstrated on one of
NASA's High-Lift prediction workshop cases.
