threaded

简明释义

英[ˈθredɪd]美[ˈθredɪd]

adj. 有线状图案装饰的

v. 穿过；穿线于（thread 的过去分词）

英英释义

单词用法

同义词

反义词

例句

1.Multi-threaded download making downloads faster

多线程下载加快下载速度

2.The waiters threaded between the crowded tables.

服务员穿行在拥挤的餐桌之间。

3.This article introduces threading with a simple threaded application.

本文通过一个简单的线程应用程序来介绍线程。

4.Using a ring buffer in multi-threaded programs.

在多线程程序中使用循环缓冲区。

5.Browsers are single threaded, so you can't rely on the timer.

浏览器是单线程的，因此不能依赖于定时器。

6.Pipes and ducts for electricity, water and waste are threaded through each floor module while it is still in the factory.

每个楼层模块仍在工厂里的时候，电力、水和废弃物的管道将他们接通。

7.Libthcli.a: Static version for a multi-threaded application.

a：针对多线程应用程序的静态版本。

8.We added locking for multi-threaded programs.

我们为多线程程序添加锁。

9.This implementation is fine for a single-threaded program.

这个实现适合于单线程程序。

10.She threaded 穿过 the needle with the bright red thread before starting her sewing project.

在开始缝纫项目之前，她用鲜红色的线 穿过 了针。

11.The software uses a threaded 多线程的 approach to improve performance by running multiple tasks simultaneously.

该软件采用 多线程的 方法，通过同时运行多个任务来提高性能。

12.The fabric is made from a special type of yarn that is threaded 编织的 to create a unique texture.

这种面料是用一种特殊的纱线 编织的，以创造出独特的质感。

13.The threaded 螺纹的 connections on the pipe ensure a tight seal.

管道上的 螺纹的 连接确保了紧密的密封。

14.He threaded 穿过 the beads onto the string to make a necklace.

他把珠子 穿过 绳子做成项链。

作文

In the world of technology, the concept of parallel processing has become increasingly important. One of the key terms associated with this is the idea of a threaded execution model. This model allows multiple threads to run concurrently, which significantly enhances the performance of applications. For instance, when a program is threaded, it can perform various tasks simultaneously, such as downloading files while processing user inputs. This is particularly beneficial in modern computing environments where multitasking is a common requirement.The term threaded refers to the way a program or process is organized into separate paths of execution, known as threads. Each thread can operate independently, yet they share the same resources and memory space of the parent process. This shared environment allows for efficient communication between threads, enabling them to work together seamlessly. However, it also introduces the challenge of synchronization, where threads must coordinate their actions to avoid conflicts.For example, consider a web server that handles multiple client requests. If the server is threaded, it can manage several requests at once, ensuring that each client receives timely responses. This is in contrast to a single-threaded model, where the server would need to handle one request at a time, leading to delays and potential bottlenecks. The threaded approach not only improves responsiveness but also maximizes resource utilization, making it a preferred choice for high-performance applications.Moreover, the advent of multi-core processors has further emphasized the importance of threaded programming. With multiple cores available, programs that are designed to be threaded can take full advantage of the hardware capabilities, distributing tasks across different cores. This parallelism leads to significant performance gains, especially in compute-intensive applications such as scientific simulations, video rendering, and data analysis.However, developing threaded applications is not without its challenges. Programmers must carefully design their code to handle potential issues like race conditions, deadlocks, and resource contention. Race conditions occur when two or more threads attempt to modify shared data simultaneously, leading to unpredictable results. Deadlocks happen when two or more threads are waiting for each other to release resources, causing the application to freeze. To mitigate these risks, developers often use synchronization mechanisms such as locks, semaphores, and monitors.In conclusion, the concept of threaded programming plays a vital role in modern software development. By allowing multiple threads to operate concurrently, applications can achieve greater efficiency and responsiveness. While there are challenges associated with threaded execution, the benefits it offers in terms of performance make it an essential technique for developers. As technology continues to evolve, understanding and mastering threaded programming will remain crucial for building robust and efficient applications.

在技术世界中，平行处理的概念变得越来越重要。与此相关的一个关键术语是threaded执行模型。该模型允许多个线程并发运行，这显著提高了应用程序的性能。例如，当一个程序是threaded时，它可以同时执行各种任务，例如在处理用户输入的同时下载文件。这在现代计算环境中尤其有益，因为多任务处理是一个常见的需求。术语threaded指的是程序或过程组织为独立执行路径的方式，称为线程。每个线程可以独立操作，但它们共享父进程的相同资源和内存空间。这种共享环境允许线程之间有效地进行通信，使它们能够无缝协作。然而，它也引入了同步的挑战，线程必须协调其操作以避免冲突。例如，考虑一个处理多个客户端请求的网络服务器。如果服务器是threaded的，它可以同时管理多个请求，确保每个客户端及时收到响应。这与单线程模型形成对比，在单线程模型中，服务器需要一次处理一个请求，导致延迟和潜在的瓶颈。threaded的方法不仅改善了响应能力，还最大化了资源利用率，使其成为高性能应用程序的首选。此外，多核处理器的出现进一步强调了threaded编程的重要性。由于可用多个核心，设计为threaded的程序可以充分利用硬件能力，将任务分配到不同的核心上。这种并行性带来了显著的性能提升，尤其是在科学模拟、视频渲染和数据分析等计算密集型应用程序中。然而，开发threaded应用程序并非没有挑战。程序员必须仔细设计他们的代码，以处理潜在的问题，如竞争条件、死锁和资源争用。竞争条件发生在两个或多个线程试图同时修改共享数据时，导致不可预测的结果。死锁发生在两个或多个线程等待彼此释放资源时，导致应用程序冻结。为了减轻这些风险，开发人员通常使用同步机制，如锁、信号量和监视器。总之，threaded编程的概念在现代软件开发中发挥着至关重要的作用。通过允许多个线程同时操作，应用程序可以实现更高的效率和响应能力。尽管与threaded执行相关的挑战，但它在性能方面提供的好处使其成为开发人员的基本技术。随着技术的不断发展，理解和掌握threaded编程将仍然对构建稳健和高效的应用程序至关重要。