Multiprocessors and clusters usually show performance increases as you increase the number of the processors, with the ideal being nx speedup for n processors. The goal of this biased benchmark is to make a program that gets worse performance as you add processors. This means, for example, that one processor on the multiprocessor or cluster runs the program fastest, two are slower, four are slower than two, and so on. What are the key performance characteristics for each organization that give inverse linear speedup?