Recommend 10 commonly used multi-threading usages

1. Analysis and overview of relevant concepts of the memory model. Three concepts in concurrent programming. Java memory model. In-depth analysis of the scenarios in which the volatile keyword is used. 2. Related concepts of the memory model. Cache consistency issues. Variables that are accessed by multiple threads are usually called shared variables. In other words, if a variable is cached in multiple CPUs (usually occurs in multi-threaded programming), then there may be a cache inconsistency problem. In order to solve the problem of cache inconsistency, there are usually two solutions: adding LOCK# to the bus and using the cache consistency protocol. These two methods are both provided at the hardware level. There is a problem with method 1 above. During the period of locking the bus, other CPUs cannot access the memory, resulting in low efficiency. Cache coherence protocol. The most famous one is Intel's MESI protocol, which ensures that the copy of shared variables used in each cache is consistent. Its core idea is: when the CPU writes data, if it finds that the variable being operated is a shared variable, that is, a copy of the variable also exists in other CPUs, a signal will be sent to notify other CPUs to set the cache line of the variable to None

1. Recommend 10 articles about java memory model

# #Introduction: 1. Analysis and overview of relevant concepts of the memory model. Three concepts in concurrent programming. Java memory model. In-depth analysis of the scenarios where the volatile keyword is used. 2. Related concepts of the memory model. Cache consistency issues. Variables that are accessed by multiple threads are usually called shared variables. In other words, if a variable is cached in multiple CPUs (usually occurs in multi-threaded programming), then there may be a cache inconsistency problem. In order to solve the problem of cache inconsistency, there are usually two solutions: by adding LOCK# to the bus...

2. Summary of the multi-process module Example

Introduction: In the previous chapter, we learned some basic methods of Python multi-process programming: Use the Process, Pool, Queue, Lock, Pipe and other classes provided by the cross-platform multi-process module multiprocessing to implement sub-process creation, process pool (create sub-processes in batches and manage the upper limit of the number of sub-processes) and inter-process communication. In this chapter, you will learn about multi-threaded programming methods in Python. 1. Threading A thread is the smallest unit for the operating system to perform tasks. The Python standard library provides the threading module...

3. Multi-process and multi-threading examples in Python (2) Programming methods

Introduction: In the previous chapter, we learned some basic methods of Python multi-process programming: using the Process provided by the cross-platform multi-process module multiprocessing , Pool, Queue, Lock, Pipe and other classes to implement child process creation, process pool (create child processes in batches and manage the upper limit of the number of child processes) and inter-process communication. In this chapter, you will learn about multi-threaded programming methods in Python.

4. Share how to ensure thread safety in C# under multi-threading

##Introduction: Compared with single thread, multi-threaded programming will have a unique problem, which is the issue of thread safety. The so-called thread safety means that if there are multiple threads running at the same time in the process where your code is located, these threads may run this code at the same time. If the results of each run are the same as those of single-threaded runs, and the values ​​of other variables are the same as expected. Thread safety issues are caused by global variables and static variables.

5.

.Net multi-threaded programming misuse point analysis

Introduction: This article mainly introduces the analysis of misuse points in .Net multi-threaded programming. It has certain reference value, let’s take a look at it with the editor

6. Detailed explanation of Javascript multi-threading in HTML5

##Introduction: Before HTML5, JavaScript running in browsers worked in a single-threaded manner. Although there are many ways to simulate multi-threading (for example: setinterval method, setTimeout method, etc. in Javascript), in essence The running of the program is still performed by the JavaScript engine in a single-threaded manner. The worker thread introduced in HTML5 allows the browser-side Javascript engine to execute Javascript code concurrently, thus achieving good support for browser-side multi-threaded programming.

7. Analyze the sample code of Java volatile keyword implementation from the root (picture)

Introduction: 1. Analysis overview Related concepts of memory model Three concepts in concurrent programming Java memory model In-depth analysis of volatile keyword Scenarios using volatile keyword 2. Memory model related Concept cache consistency issues. Variables that are accessed by multiple threads are usually called shared variables. In other words, if a variable is cached in multiple CPUs (usually occurs in multi-threaded programming), then there may be a cache inconsistency problem. In order to solve the problem of cache inconsistency, there are usually two solutions: By adding LOCK# to the bus..

8. Java concurrent development-built-in lock Synchronized sample code

Introduction: Abstract: In multi-threaded programming, thread safety is one of the most important issues. The key issue, the core concept lies in correctness, that is, when multiple threads access a certain shared, variable data, it will never lead to data corruption or other undesirable results. When all concurrency modes solve this problem, they use serialized access to critical resources. In Java, two ways are provided to implement synchronized mutually exclusive access: synchronized and Lock. This article discusses in detail the application of synchronized built-in locks in Java concurrency, including its specific usage scenarios (synchronization..

9. C# Multi-threaded Programming Example-Thread Code analysis for interacting with forms

## Introduction: C# multi-threaded programming example thread and form interaction code ： public partial class Form1: Form { HTML5 multi-threaded JavaScript solution Web Worker - Detailed code introduction of dedicated Worker and shared Worker

Introduction: It has to be said that HTML5 does provide a lot of powerful features and even subverts the single-threaded JavaScript we previously understood. It provides a multi-threaded solution for JavaScript. This new feature is called Web Worker (there was no multi-threading before, and the essence of setTimeout and so on was still It is single-threaded) Although it is multi-threaded programming, we don’t have to worry about the multi-threading problems encountered by traditional multi-threaded languages ​​​​such as C++, Java, etc. Let’s take a look at what Web Worker worker threads are.

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