Can parallelization save the (computing) world?

As all other computing laws [1], the computing performance shows a “logistic curve”-like behavior, rather than unlimited growth. Since cca. 2000, the single-processor performance increased only marginally [2], unlike the need for more computing power in the everyday tasks. The stalling forced computer experts to look for alternative methods. The preferred way seems to be to continue the traditions of the single-processor approach: to assemble systems comprising several segregated processors, connected in various ways.