  Partial wave analysis is a key technique in hadron spectroscopy. The use of
unbinned likelihood fits on large statistics data samples and ever more complex
physics models makes this analysis technique computationally very expensive.
Parallel computing techniques, in particular the use of graphics processing
units, are a powerful means to speed up analyses; in the contexts of the BES
III, Compass and GlueX experiments, parallel analysis frameworks have been
created. They provide both fits that are faster by more than two orders of
magnitude than legacy code and environments to quickly program and run an
analysis. This in turn allows the physicists to focus on the many difficult
open problems pertaining to partial wave analysis.
