About the Monitor object in .NET framework

本文探讨了对象监视器(Object Monitor)在.NET线程机制中的作用,特别是其Enter和Exit方法如何确保不同线程之间的互斥访问。此外,还讨论了Monitor.Wait和Monitor.Pulse方法在同步上下文中的使用,并通过示例代码展示了这些方法如何协同工作以实现线程间的正确同步。

Object monitor plays a leading role in thread synchronization. Apart from its Enter and Exit methods (equivalent to opening and closing bracket pairafter the lock keywordspecifying synchronized codeblock), it offers two additional methods which are required to augment its synchronization functionality.

According to the documentation, Enter and Exit methods enclose a critical region, in which the object monitored is ensured of being accessed mutually exclusively by different threads.

A thread can relinquish the monitored object it owns by calling Monitor.Wait method, and all the other threads waiting on the object contend for it. DotNet thread mechanism requires the thread releasing the object should call Monitor.Pulse or Monitor.PulseAll to notify all waiting threadsthat the monitored object's status has beenupdatedbefore calling the Monitor.Wait. Therefore, as for the code below, the Monitor.Pulse method call right before end of the the locksectionis indespensible lest the blocked thread not be woken up.

using System; namespace ConsoleTest { class ThreadingTest { void DoCriticalJobs() { lock(this) { for (int i = 0; i < 10; i++) { Console.WriteLine("CriticalJob {0} on thread {1}", i, System.Threading.Thread.CurrentThread.ManagedThreadId); if (i == 4) { System.Threading.Monitor.Pulse(this); System.Threading.Monitor.Wait(this); } } System.Threading.Monitor.Pulse(this); /* this line is essential */ } } void ThreadEntry(object obj) { DoCriticalJobs(); } public void Test() { System.Threading.Thread thread1 = new System.Threading.Thread( new System.Threading.ParameterizedThreadStart(this.ThreadEntry)); System.Threading.Thread thread2 = new System.Threading.Thread( new System.Threading.ParameterizedThreadStart(this.ThreadEntry)); thread1.Priority = System.Threading.ThreadPriority.Normal; thread2.Priority = System.Threading.ThreadPriority.Normal; thread1.Start(); thread2.Start(); thread1.Join(); thread2.Join(); } } }

根据原作 https://pan.quark.cn/s/459657bcfd45 的源码改编 Classic-ML-Methods-Algo 引言 建立这个项目,是为了梳理和总结传统机器学习(Machine Learning)方法(methods)或者算法(algo),和各位同仁相互学习交流. 现在的深度学习本质上来自于传统的神经网络模型,很大程度上是传统机器学习的延续,同时也在不少时候需要结合传统方法来实现. 任何机器学习方法基本的流程结构都是通用的;使用的评价方法也基本通用;使用的一些数学知识也是通用的. 本文在梳理传统机器学习方法算法的同时也会顺便补充这些流程,数学上的知识以供参考. 机器学习 机器学习是人工智能(Artificial Intelligence)的一个分支,也是实现人工智能最重要的手段.区别于传统的基于规则(rule-based)的算法,机器学习可以从数据中获取知识,从而实现规定的任务[Ian Goodfellow and Yoshua Bengio and Aaron Courville的Deep Learning].这些知识可以分为四种: 总结(summarization) 预测(prediction) 估计(estimation) 假想验证(hypothesis testing) 机器学习主要关心的是预测[Varian在Big Data : New Tricks for Econometrics],预测的可以是连续性的输出变量,分类,聚类或者物品之间的有趣关联. 机器学习分类 根据数据配置(setting,是否有标签,可以是连续的也可以是离散的)和任务目标,我们可以将机器学习方法分为四种: 无监督(unsupervised) 训练数据没有给定...
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