Many applications in Bayesian statistics are extremely computationally intensive. However, they often inherently parallel, making them prime targets for modern massively parallel processors. Multi-core and distributed computing is widely applied the community, however, very little attention has been given to fine-grain parallelisation using single instruction multiple data (SIMD) operations tha...