Recommended 10 Common multithreaded usage

1. Analysis Overview memory model related concepts three concepts in concurrent programming Java memory model in-depth analysis of the volatile keyword Scenario 2 using the volatile keyword, memory model related concepts cache consistency issues. It is commonly said that the variable accessed by multiple threads is a shared variable. That is, if a variable exists in multiple CPUs (typically in multithreaded programming), there may be a problem with cache inconsistencies. In order to solve the problem of cache inconsistency, there are usually the following 2 workarounds: The 2 ways of using the cache conformance protocol through the bus plus lock# lock are all available on a hardware-level basis. The above approach 1 has a problem because the other CPUs are unable to access the memory during the locking of the bus, resulting in inefficiency. Cache consistency protocol. The best known is the Intel Mesi protocol, which guarantees that a copy of the shared variables used in each cache is consistent. Its core idea is that when the CPU writes the data, if the variable that finds the action is a shared variable, that is, a copy of the variable exists in the other CPU, a signal is sent to the other CPU to set the cache line of the variable to none

1. Recommended 10 articles about the Java memory model

Introduction: 1, analysis overview memory model related concepts three concepts in concurrent programming Java memory model in-depth analysis of the volatile keyword Scenario 2 using the volatile keyword, memory model related concepts cache consistency issues. It is commonly said that the variable accessed by multiple threads is a shared variable. That is, if a variable exists in multiple CPUs (typically in multithreaded programming), there may be a problem with cache inconsistencies. In order to solve the problem of cache inconsistency, there are generally the following 2 workarounds: By adding lock# to the bus ...

2. Summarize multi-process module instances

Introduction: In the previous chapter, we learned some basic methods of Python multi-process programming: Using the process, Pool, Queue, Lock, pipe and other classes provided by the cross-platform multi-process module multiprocessing, we realized the child process creation, Process pools (batch creation of child processes and managing the maximum number of child processes) and interprocess communication. This chapter learns the multithreaded programming approach under Python. The threading thread is the smallest unit on which the operating system performs tasks. Threading modules are available in the Python standard library ...

3. Python multi-process and multithreaded instances (ii) Programming methods

Introduction: In the previous chapter, we learned some basic methods of Python multi-process programming: Using the process, Pool, Queue, Lock, pipe and other classes provided by the cross-platform multi-process module multiprocessing, we realized the child process creation, Process pools (batch creation of child processes and managing the maximum number of child processes) and interprocess communication. This chapter learns the multithreaded programming approach under Python.

4. Share multi-threaded C # How to ensure thread safety

Summary: Multithreaded programming has a unique problem with respect to single threading, which is a thread-safe issue. The so-called thread safety is that if your code is in a process where multiple threads are running concurrently, these threads may run the code at the same time. If the result of each run is the same as the single-threaded run, and the value of the other variable is the same as expected. Thread safety issues are caused by global variables and static variables.

5.. The analysis of misuse point in net multithreading programming

Introduction: This article mainly introduces. NET multithreaded programming in the misuse point analysis. Have a certain reference value, follow the small series below to see it

6. HTML5 's JavaScript Multi-threading explanation

Summary: Before HTML5, Javascript in the browser works in a single-threaded way, although there are several ways to simulate multithreading (e.g., the SetInterval method in Javascript, the SetTimeout method, etc.), In essence, however, the operation of the program is still performed by the JavaScript engine in a single-threaded schedule. The worker threads introduced in HTML5 enable the browser-side JavaScript engine to execute JavaScript code concurrently, enabling good support for browser-side multithreaded programming.

7. Sample code to parse the Java volatile keyword implementation from the root source (figure)

Introduction: 1, analysis overview memory model related concepts three concepts in concurrent programming Java memory model in-depth analysis of the volatile keyword Scenario 2 using the volatile keyword, memory model related concepts cache consistency issues. It is commonly said that the variable accessed by multiple threads is a shared variable. That is, if a variable exists in multiple CPUs (typically in multithreaded programming), there may be a problem with cache inconsistencies. In order to solve the problem of cache inconsistency, there are generally the following 2 workarounds: By adding lock# to the bus.

8. Java Concurrency Development-example code for built-in lock synchronized

Summary: In multithreaded programming, thread safety is one of the most critical issues, and its core concept is correctness, that is, when multiple threads access a shared, mutable data, there is always no data corruption and other results that should not occur. All concurrency patterns are used to serialize access to critical resources when solving this problem. In Java, there are two ways to achieve synchronous mutex access: synchronized and Lock. This article discusses in detail its application in Java concurrency for synchronized built-in locks, including its specific usage scenarios (synchronization).

9. C # multithreaded programming instance-code analysis of thread-to-form interaction

Summary: C # multithreaded programming instance thread and form interaction code: Public partial class Form1:form {//Declare thread array thread[] workthreads = new THREAD[10]; public Form1 () {InitializeComponent ();

HTML5 multithreaded JavaScript Solution Web worker-dedicated worker and shared worker detailed code description

Introduction: It has to be said that HTML5 does provide a lot of powerful features that even subvert the javascript thread that we previously understood it provides a JavaScript multithreaded solution This new feature is called Web Worker (no more threads before, SetTimeout and so on is still a single thread) although it is multithreaded programming but we do not worry about the traditional multithreaded language C + +, Java, and so on, we will look at what is the Web worker worker thread specifically

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