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TimSweeneyEpic's profile
Tim Sweeney
Tim Sweeney
Tim Sweeney
@TimSweeneyEpic

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Tim Sweeney

@TimSweeneyEpic

Epic Games founder & CEO

epicgames.com
Joined August 2013

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    1. John W Kloetzli, Jr‏ @JJcoolkl 29 Dec 2017
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      Atomic operations are expensive, even if there is no contention with other threads. Please don't use them in serial code (this includes std::shared_ptr). Tested on Intel Core i7-5820Kpic.twitter.com/SShUepjp2Y

      6 replies 5 retweets 30 likes
    2. Tim Sweeney‏ @TimSweeneyEpic 29 Dec 2017
      • Report Tweet
      • Report NetzDG Violation
      Replying to @JJcoolkl

      My view is: They’re reasonably fast already, but the more we use them, the more the CPU makers will optimize them. So interlock away!

      2 replies 1 retweet 4 likes
    3. John W Kloetzli, Jr‏ @JJcoolkl 29 Dec 2017
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      Replying to @TimSweeneyEpic

      Is there a lot of room for them to get faster? Isn't the lower bound around the cost of a cache miss? We try to avoid cache misses, so why not try to avoid unnecessary interlocked ops too?

      3 replies 0 retweets 1 like
    4. Tim Sweeney‏ @TimSweeneyEpic 29 Dec 2017
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      Replying to @JJcoolkl

      A CPU’s speculative execution *could* plow through an interlocked operation or atomic block at full speed, and only backtrack if there’s contention. Speculative concurrency control is the most vital current topic in CPU design.

      1 reply 2 retweets 18 likes
    5. L.  😷. Ritter‏ @paniq 30 Dec 2017
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      Replying to @TimSweeneyEpic @JJcoolkl

      imo discussing the performance of operations out of specific context is unhelpful

      1 reply 0 retweets 0 likes
    6. Tim Sweeney‏ @TimSweeneyEpic 30 Dec 2017
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      Replying to @paniq @JJcoolkl

      Hypothesis: When we have many cores, we'll want to multithread fine-grained shared-state updates (such as each actor ticks). Library abstractions like transactional vars, atomic blocks, futures, and smart pointers will make this friendly for user code.

      1 reply 1 retweet 3 likes
      Tim Sweeney‏ @TimSweeneyEpic 30 Dec 2017
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      Replying to @TimSweeneyEpic @paniq @JJcoolkl

      Thus we'll make multithreading tractable by millions of normal programmers, but the cost is 100,000,000's of atomics or tsx blocks per core per second.

      11:16 AM - 30 Dec 2017
      • 1 Retweet
      • 3 Likes
      • Dietmar Suoch Saurabh Chaturvedi L. 😷. Ritter
      0 replies 1 retweet 3 likes

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