Generally it depends on the working set. Massively parallel architectures with shared visibility into a coherent memory space can often more efficiently compute

Generally it depends on the working set. Massively parallel architectures with shared visibility into a coherent memory space can often more efficiently compute volumetric problems. Doing the same problems on GPUs involve a lot of data shuffling and you end up on the wrong side of Amdahl's law.