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CodingHanYa avatar CodingHanYa commented on May 18, 2024

计算的是单个任务的耗时而不是总耗时哦。

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SpencerChou avatar SpencerChou commented on May 18, 2024

我的疑问正来于此，任务并没有并行化，所以对于每个线程任务耗时为啥会减少那么多呢？ 考虑到任务窃取等也没有道理啊，有的线程执行时间短了，就有的更长，平均下来应该也是200/4=50上下不是嘛

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CodingHanYa avatar CodingHanYa commented on May 18, 2024

假设单条线程执行速度不变，但是线程数增多了。那么单位时间内处理的任务增多了，每个任务的平均耗时就降下来了。你把每个任务当成大任务分解出来的小任务，那么实际上就是任务并行化了。

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SpencerChou avatar SpencerChou commented on May 18, 2024

我又去看了下代码，然后在看了看benchmark的数据，感觉更懵了
single thread的测试，测出来的是平均下来，那个cpu_bound的函数执行要200多ms，
多线程，那个cpu_bound的函数执行却只要20ms。。。
vecnums和vecsize又没变，问题计算规模又没变小，只是更多个相同的任务在不同的线程上多次计算了，平均耗时怎么会降低呢？

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CodingHanYa avatar CodingHanYa commented on May 18, 2024

你再想想

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SpencerChou avatar SpencerChou commented on May 18, 2024

大概知道了，还有就是 ，跑空任务的这个意义是在哪呢，这个benchmark能体现线程池的什么能力

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CodingHanYa avatar CodingHanYa commented on May 18, 2024

你可以看看我在B站上的讲解视频。跑空任务越快，主要说明主线程同步任务到异步线程的开销越小。

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