A similar question has already been asked in the past, unfortunately the 2nd question of the OP was never really addressed.
Most references found on internet on Brownian Bridge and Monte-Carlo simulations seem to relate to Quasi-Monte-Carlo methods and look general and academic in nature. However, in the mentioned question it is said that Brownian Bridge "[...] could reduce the computation effort on path-dependent derivatives. For example, during pricing of a barrier option, a path could be simulated with monthly scenarios of the factors; then [a Brownian Bridge] could be used to estimate the probability of the path 'knock-out' of the barrier." This seems to be a "practitioner's trick".
Is anybody familiar with this technique/trick and, if so, could she/he explain it briefly?
Alternatively, does anyone has any reference to this topic, if possible openly available on internet (paper, etc.)?
I have an idea on how the Brownian Bridge could be used to speed-up Monte Carlo pricing for some specific path-dependent payoffs (like barriers) but I was wondering if anybody has more knowledge on this, there does not seem to be references in internet.