From the course: Parallel and Concurrent Programming with Java 2

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Partitioning

Partitioning - Java Tutorial

From the course: Parallel and Concurrent Programming with Java 2

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Partitioning

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- We've looked at a lot of mechanisms for implementing concurrent and parallel programs and considered the concepts and challenges associated with them. Now it's time for the big question. How do you actually design a parallel program? Over the next few videos, we'll look at a common four-step methodology for taking a problem and developing a parallel solution for it. This methodology can be used to design complex programs that run on large-scale parallel systems, and not all parts of it are applicable to writing simple desktop applications like we've done in this course, but the concepts are still good to understand. The four stages can be summarized as partitioning, communication, agglomeration, and mapping. That first stage, partitioning, is about breaking down the problem into discrete chunks of work that can be distributed to multiple tasks. At this beginning stage, we are not concerned with practical issues like the number of processors in our computer. We'll consider the later.…

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