You may want to read the section I wrote for the CBC/HB manual in Appendix L: Hardware Recommendations. It covers some general performance principles and practices.
In addition, solid state hard drives tend to be much faster than normal hard drives. If money is no object, then you may consider looking at fusionio.com which has solutions faster than SSD.
In CBC/HB v5 there is also the skip factor for displaying in the graph, which reduces the amount of data sent to the graphing module. When doing large numbers of variables or iterations, the graph can be storing lots of data, and increasing the skip factor will improve performance.
Performace is also affected by the design. Some researchers will use a 'kitchen sink' approach and specify many covariates, interactions, and constraints, all of which affect performance. If including a covariate, interaction, or constraint, you should first look to see if it makes sense to include it by doing some preliminary analysis like counts. You may also want to look at attribute patterns to see if you can estimate some as linear instead of part-worth, resulting in fewer parameters to estimate.