using many "parallel" processors. Each will work independently on one part of a given problem and exchange its findings with other processors.
simple-as it seems, parallel processing poses daunting technical challenges. Scientists must figure out how to break complex problems into manageable bites that can be worked on "in parallel" rather than sequentially, as in today's computers. And they must develop computer programs that will allow the processors to "talk" to...