国产av日韩一区二区三区精品,成人性爱视频在线观看,国产,欧美,日韩,一区,www.成色av久久成人,2222eeee成人天堂

Table of Contents
Concurrent Programming Frameworks and Libraries in C: Detailed Explanation and Comparison
Home Backend Development C++ What are the concurrent programming frameworks and libraries in C++? What are their respective advantages and limitations?

What are the concurrent programming frameworks and libraries in C++? What are their respective advantages and limitations?

May 07, 2024 pm 02:06 PM
c++ Concurrent programming Synchronization mechanism standard library Frameworks and libraries

C concurrent programming framework has the following options: lightweight threads (std::thread); thread-safe Boost concurrent containers and algorithms; OpenMP for shared memory multiprocessors; high-performance Thread Building Blocks (TBB); Cross-platform C concurrency interop library (cpp-Concur).

C++ 中有哪些并發(fā)編程框架和庫(kù)?它們各自的優(yōu)點(diǎn)和局限性是什么?

Concurrent Programming Frameworks and Libraries in C: Detailed Explanation and Comparison

Concurrent programming is essential for modern applications, allowing code to run on multiple threads or processes running simultaneously to improve performance and responsiveness. C provides a range of concurrent programming frameworks and libraries, each with its own unique advantages and limitations.

1. Thread (std::thread)

Thread is a lightweight concurrency mechanism provided in the C standard library. It allows you to execute code in a separate thread without using a higher level framework.

Advantages: Lightweight, easy to use, low overhead.

Limitations: Managing threads and synchronization operations is cumbersome and requires manual maintenance of thread life cycles and synchronization mechanisms.

2. Boost concurrent containers and algorithms

The Boost library provides a series of concurrent containers and algorithms, such as std::list, std::map and std:: Concurrent version of sort. These containers and algorithms use locking mechanisms to achieve thread safety, allowing multiple threads to access shared data structures simultaneously.

Advantages: Thread-safe and easy to use.

Limitations: May have additional overhead and may not be suitable for highly concurrent applications.

3. OpenMP

OpenMP is an API for shared memory multi-processor systems. It allows you to specify parallel regions in your code using pragma directives, and the compiler converts these regions into parallel code at compile time.

Advantages: Easy to use, suitable for computationally intensive applications, parallelism can be optimized by the compiler.

Limitations: Only available on compilers and platforms that support OpenMP, may be difficult to debug.

4. TBB (Thread Building Block)

TBB is a high-performance concurrency framework developed by Intel. It provides a set of primitives and abstractions designed to simplify parallel programming. TBB uses task decomposition, work-stealing scheduling, and cache locality optimization to achieve high performance.

Advantages: High performance, good scalability, and easy to use.

Limitations: Platform and compiler dependent, additional tuning may be required.

5. C Concurrency Interop Library (cpp-Concur)

cpp-Concur is a cross-platform concurrency framework developed by Microsoft. It provides a series of primitives for task scheduling, synchronization and communication, achieving cross-platform compatibility on different platforms and compilers.

Advantages: Cross-platform, flexible and easy to use.

Limitations: May have higher overhead than other frameworks, documentation may not be as comprehensive as other frameworks.

Practical case:

The following is a simple example of using Boost concurrent container:

#include <boost/thread/shared_mutex.hpp>
#include <boost/thread.hpp>

using namespace std;
using namespace boost;

shared_mutex mtx;
unordered_map<int, string> shared_data;

void writer_thread() {
  unique_lock<shared_mutex> lock(mtx);
  shared_data[1] = "foo";
}

void reader_thread() {
  shared_lock<shared_mutex> lock(mtx);
  cout << shared_data[1] << endl;
}

int main() {
  boost::thread writer(writer_thread);
  boost::thread reader(reader_thread);

  writer.join();
  reader.join();

  return 0;
}

In this example, we use shared_mutex To protect shared data and allow concurrent read and write operations.

The above is the detailed content of What are the concurrent programming frameworks and libraries in C++? What are their respective advantages and limitations?. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undress AI Tool

Undress AI Tool

Undress images for free

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Hot Topics

PHP Tutorial
1502
276
PHP array_column function redefinition error: Compatibility and modern practice PHP array_column function redefinition error: Compatibility and modern practice Jul 25, 2025 pm 08:06 PM

This article aims to resolve the common Cannotredeclarearray_column() function redefinition error in PHP development. This error usually occurs when trying to customize the array_column function, which is already built-in in newer versions of PHP. The article will explain in detail how to safely implement the old version of Polyfill solution through conditional judgment function_exists(), as well as best practices to directly remove redundant custom functions in a modern PHP environment to ensure the robustness and maintainability of the code.

How to develop AI-based text summary with PHP Quick Refining Technology How to develop AI-based text summary with PHP Quick Refining Technology Jul 25, 2025 pm 05:57 PM

The core of PHP's development of AI text summary is to call external AI service APIs (such as OpenAI, HuggingFace) as a coordinator to realize text preprocessing, API requests, response analysis and result display; 2. The limitation is that the computing performance is weak and the AI ecosystem is weak. The response strategy is to leverage APIs, service decoupling and asynchronous processing; 3. Model selection needs to weigh summary quality, cost, delay, concurrency, data privacy, and abstract models such as GPT or BART/T5 are recommended; 4. Performance optimization includes cache, asynchronous queues, batch processing and nearby area selection. Error processing needs to cover current limit retry, network timeout, key security, input verification and logging to ensure the stable and efficient operation of the system.

C   function example C function example Jul 27, 2025 am 01:21 AM

Functions are the basic unit of organizing code in C, used to realize code reuse and modularization; 1. Functions are created through declarations and definitions, such as intadd(inta,intb) returns the sum of the two numbers; 2. Pass parameters when calling the function, and return the result of the corresponding type after the function is executed; 3. The function without return value uses void as the return type, such as voidgreet(stringname) for outputting greeting information; 4. Using functions can improve code readability, avoid duplication and facilitate maintenance, which is the basic concept of C programming.

C   decltype example C decltype example Jul 27, 2025 am 01:32 AM

decltype is a keyword used by C 11 to deduce expression types at compile time. The derivation results are accurate and do not perform type conversion. 1. decltype(expression) only analyzes types and does not calculate expressions; 2. Deduce the variable name decltype(x) as a declaration type, while decltype((x)) is deduced as x due to lvalue expression; 3. It is often used in templates to deduce the return value through tail-set return type auto-> decltype(t u); 4. Complex type declarations can be simplified in combination with auto, such as decltype(vec.begin())it=vec.begin(); 5. Avoid hard-coded classes in templates

C   fold expressions example C fold expressions example Jul 28, 2025 am 02:37 AM

C folderexpressions is a feature introduced by C 17 to simplify recursive operations in variadic parameter templates. 1. Left fold (args...) sum from left to right, such as sum(1,2,3,4,5) returns 15; 2. Logical and (args&&...) determine whether all parameters are true, and empty packets return true; 3. Use (std::cout

C   range-based for loop tutorial C range-based for loop tutorial Jul 27, 2025 am 12:49 AM

C's range-basedfor loop improves code readability and reduces errors by simplifying syntax. Its basic structure is for(declaration:range), which is suitable for arrays and STL containers, such as traversing intarr[] or std::vectorvec. Using references (such as conststd::string&name) can avoid copy overhead and can modify element content. Notes include: 1. Do not modify the container structure in the loop; 2. Ensure that the range is effective and avoid the use of freed memory; 3. There is no built-in index and requires manual maintenance of the counter. Mastering these key points allows you to use this feature efficiently and safely.

C   binary search tree example C binary search tree example Jul 28, 2025 am 02:26 AM

ABinarySearchTree(BST)isabinarytreewheretheleftsubtreecontainsonlynodeswithvalueslessthanthenode’svalue,therightsubtreecontainsonlynodeswithvaluesgreaterthanthenode’svalue,andbothsubtreesmustalsobeBSTs;1.TheC implementationincludesaTreeNodestructure

C   call python script from C   example C call python script from C example Jul 26, 2025 am 07:00 AM

Calling Python scripts in C requires implementation through PythonCAPI. First, initialize the interpreter, then import the module and call the function, and finally clean up the resources; the specific steps are: 1. Initialize the Python interpreter with Py_Initialize(); 2. Load the Python script module with PyImport_Import(); 3. Obtain the objective function through PyObject_GetAttrString(); 4. Use PyObject_CallObject() to pass parameters to call the function; 5. Call Py_DECREF() and Py_Finalize() to release the resource and close the interpreter; in the example, hello is successfully called

See all articles