The Bayesian analysis toolkit (BAT)
is a C++ package centered around Markov-chain Monte Carlo sampling. It
is used in analyses of various particle-physics experiments such as
ATLAS and Gerda. The software has matured over the last few years to a
version 1.0. We will summarize the lessons learned and report on the
current developments of a complete redesign targeting multicore and
multiprocessor architectures and supporting many more sampling
algorithms both built-in and user-supplied.