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as seen on Reed Copsey
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Although simple data parallelism allows us to easily parallelize many of our iteration statements, there are cases that it does not handle well. In my previous discussion, I focused on data parallelism with no shared state, and where every element is being processed exactly the same.
Unfortunately…
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as seen on Reed Copsey
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In my discussion of Decomposition of the problem space, I mentioned that Data Decomposition is often the simplest abstraction to use when trying to parallelize a routine. If a problem can be decomposed based off the data, we will often want to use what MSDN refers to as Data Parallelism as our…
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as seen on Reed Copsey
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In the article on simple data parallelism, I described how to perform an operation on an entire collection of elements in parallel. Often, this is not adequate, as the parallel operation is going to be performing some form of aggregation.
Simple examples of this might include taking the sum…
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as seen on Reed Copsey
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When working with a problem that can be decomposed by data, we have a collection, and some operation being performed upon the collection. I’ve demonstrated how this can be parallelized using the Task Parallel Library and imperative programming using imperative data parallelism via the Parallel…
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as seen on Daniel Moth
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Last year I linked to a screencast that shows off many VS2010 features delivered by the Parallel Computing team.There have been requests for the code used to demonstrate the features. Like with all my screencasts, you can see all the code in action, so you could simply type it in. To save you doing…
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