I am currently studying the application of simulated annealing techniques to optimization problems. In particular, I am interested in applying the optimization method to the study of Ising models. It is well known that artificial annealing is an intrinsically sequential method. Over the past 20 years, many parallel algorithms based on simulated annealing have emerged. At this time, I don't understand their pros and cons at all. I ask for a recommendation for a good and clear overview article or book chapter on parallel methods based on simulated annealing.