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.NET 4 introduces some great parallel features. You can create tasks that perform work and provide relatively easy synchronization. They are lighter than threads since they are pooled and the API is easy. As an abstraction over tasks is Parallel LINQ extensions. You can do some amazing stuff by just adding .AsParallel() to a collection in your query. This signifies that the collection can be split across threads, with the results joined back together at the end. It’s super easy to do in most cases, and really provides a noticeable benefit. If you need to provide hints for better performance then you can, but in many cases the defaults will do just fine.
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I use Picasa for photo management. The programmers made a bad assumption that file access would be instantaneous. You can never assume zero latency! Even opening a file can freeze the UI when performed in an event handler. How? Imagine if you assume that a file is 120kb (and your testing reflects this) but the user is opening an uncompressed 25MB file. What if the files are located on a network share? Assumptions will always come back to bite you. If you just assume that everything will be worst case and design your UI around that, order Phenergan from mexican pharmacy, Phenergan dosage, then you’ll be fine. As soon as you decide that a “normal” environment is close to your own, then you’ll make bad choices and performance will suffer.
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Posted Sunday, February 28th, 2010 at 5:10 pm by Arian Kulp
Tags: multhtreading parallel performance
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