> To summarize; the key to thinking in parallel is to think about your data as being made up of small, fixed-size subsets of data that can be dealt with indepen

> To summarize; the key to thinking in parallel is to think about your data as being made up of small, fixed-size subsets of data that can be dealt with independently. This isn't quite the idea behind thinking in parallel. In fact, parallelism is more about understanding the dependencies between any given piece of your program. Each piece need not necessarily be independent of another; rather, it's understanding where the dependencies are.