What to avoid for performance reasons in multithreaded code?

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执笔经年
执笔经年 2021-02-09 10:45

I\'m currently reviewing/refactoring a multithreaded application which is supposed to be multithreaded in order to be able to use all the available cores and theoretically deliv

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  •  鱼传尺愫
    2021-02-09 11:38

    You don't mention the language you're using, so I'll make a general statement on locking. Locking is fairly expensive, especially the naive locking that is native to many languages. In many cases you are reading a shared variable (as opposed to writing). Reading is threadsafe as long as it is not taking place simultaneously with a write. However, you still have to lock it down. The most naive form of this locking is to treat the read and the write as the same type of operation, restricting access to the shared variable from other reads as well as writes. A read/writer lock can dramatically improve performance. One writer, infinite readers. On an app I've worked on, I saw a 35% performance improvement when switching to this construct. If you are working in .NET, the correct lock is the ReaderWriterLockSlim.

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