Parallelism in .NET – Part 1, Decomposition

The first step in designing any parallelized system is Decomposition.  Decomposition is nothing more than taking a problem space and breaking it into discrete parts.  When we want to work in parallel, we need to have at least two separate things that we are trying to run.  We do this by taking our problem and decomposing it into parts.

There are two common abstractions that are useful when discussing parallel decomposition: Data Decomposition and Task Decomposition.  These two abstractions allow us to think about our problem in a way that helps leads us to correct decision making in terms of the algorithms we’ll use to parallelize our routine.

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Parallelism in .NET – Introduction

Parallel programming is something that every professional developer should understand, but is rarely discussed or taught in detail in a formal manner.  Software users are no longer content with applications that lock up the user interface regularly, or take large amounts of time to process data unnecessarily.  Modern development requires the use of parallelism.  There is no longer any excuses for us as developers.

Learning to write parallel software is challenging.  It requires more than reading that one chapter on parallelism in our programming language book of choice…

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