threading

简明释义

英[ˈθredɪŋ]美[ˈθredɪŋ]

n. （用细线给面部）除毛

v. 穿（针、线）；（使）穿过，通行；用线串起来；给……装入（胶片、磁带、丝弦等）；用线缝；刻螺纹（thread 的现在分词）

英英释义

单词用法

同义词

反义词

例句

1.But the threading itself earns the "weightless" name.

不过线程本身却赢得了“轻便”的名声。

2.Threading: Hyper-Threading technology.

线程化：超线程技术。

3.Threading risks for Web applications.

Web应用程序的线程风险。

4.POSIX threads provide the threading mechanism as well as Shared memory.

POSIX线程提供了线程化机制和共享内存。

5.The next big thing is going to be threading.

下一件重要的事情就是线程了。

6.Swing's threading policy states.

Swing的线程策略状态。

7.A lot of work in improving threading performance has gone into the 2.5 kernel.

在2.5内核中已经做了很多的改进线程性能的工作。

8.The threading approach simply freezes and stores an existing thread.

线程化方式简单地冻结并存储现有的线程。

9.In computer programming, threading allows multiple tasks to run simultaneously.

在计算机编程中，多线程允许多个任务同时运行。

10.The software uses threading to improve performance.

该软件使用多线程来提高性能。

11.He spent hours threading beads for the necklace.

他花了几个小时在项链上串珠。

12.She is threading the needle to start sewing.

她正在穿线以开始缝纫。

13.She enjoys threading yarn through her knitting projects.

她喜欢在编织项目中穿线。

作文

In today's digital age, the concept of threading has gained significant importance, especially in the realm of computer science and programming. Threading refers to the ability of a CPU or a single core in a multi-core processor to provide multiple threads of execution concurrently. This allows for more efficient processing and can significantly enhance the performance of applications. In simpler terms, threading is like having multiple workers in a factory who can perform tasks simultaneously rather than waiting for one worker to finish before the next can start. This parallelism is crucial, especially in high-performance computing scenarios where time is of the essence.One of the most common examples of threading can be seen in web servers. When a server receives requests from multiple users, it can use threading to handle each request in a separate thread. This means that while one user is waiting for a response, another user’s request can be processed at the same time. This not only improves the user experience by reducing wait times but also maximizes the utilization of server resources.Moreover, threading is not limited to just web servers; it is also widely used in applications ranging from video games to data processing software. For instance, in a video game, different threads can be responsible for rendering graphics, processing user input, and managing game physics simultaneously. This allows the game to run smoothly without any lag, providing an immersive experience for players.However, threading does come with its own set of challenges. One of the main issues developers face is ensuring that threads do not interfere with each other, which can lead to unpredictable behavior and bugs. This is known as a race condition, where two or more threads attempt to access shared data at the same time. To prevent this, developers must implement proper synchronization mechanisms, such as locks or semaphores, to control access to shared resources.Additionally, debugging multithreaded applications can be significantly more complex than single-threaded ones. Since multiple threads are executing simultaneously, tracking down the source of a bug can be akin to finding a needle in a haystack. Developers often rely on specialized tools and techniques to analyze thread behavior and identify potential issues.Despite these challenges, the advantages of threading far outweigh the drawbacks, especially in today’s fast-paced technological landscape. As applications continue to grow in complexity and the demand for faster processing speeds increases, understanding and effectively utilizing threading will become even more critical for developers. In conclusion, threading is a powerful concept that enables concurrent execution of tasks, leading to improved performance and responsiveness in various applications. Embracing threading is essential for anyone looking to excel in the field of software development, as it opens up new possibilities for creating efficient and scalable applications.

在当今数字时代，threading（线程处理）的概念变得越来越重要，尤其是在计算机科学和编程领域。Threading指的是CPU或多核处理器中的单个核心同时提供多个执行线程的能力。这允许更高效的处理，并可以显著提高应用程序的性能。简单来说，threading就像在一个工厂里有多个工人可以同时执行任务，而不是等待一个工人完成后下一个才能开始。这种并行性至关重要，尤其是在高性能计算场景中，时间至关重要。最常见的threading例子可以在Web服务器中看到。当服务器接收到来自多个用户的请求时，它可以使用threading来在单独的线程中处理每个请求。这意味着，当一个用户在等待响应时，另一个用户的请求可以同时被处理。这不仅通过减少等待时间来改善用户体验，而且最大化了服务器资源的利用率。此外，threading并不限于Web服务器；它还广泛应用于从视频游戏到数据处理软件的各种应用程序。例如，在视频游戏中，不同的线程可以同时负责渲染图形、处理用户输入和管理游戏物理。这使得游戏能够顺利运行而没有任何延迟，为玩家提供沉浸式体验。然而，threading也带来了自己的一系列挑战。开发人员面临的主要问题之一是确保线程之间不会相互干扰，这可能导致不可预测的行为和错误。这被称为竞争条件，即两个或更多线程试图同时访问共享数据。为了防止这种情况，开发人员必须实施适当的同步机制，如锁或信号量，以控制对共享资源的访问。此外，调试多线程应用程序比单线程应用程序复杂得多。由于多个线程同时执行，追踪错误源可能就像在一堆干草中寻找针一样。开发人员通常依赖专门的工具和技术来分析线程行为并识别潜在问题。尽管存在这些挑战，但threading的优势远远超过缺点，尤其是在当今快速发展的技术环境中。随着应用程序的复杂性不断增加，对更快处理速度的需求不断上升，理解和有效利用threading将变得更加关键。总之，threading是一个强大的概念，使任务的并发执行成为可能，从而提高各种应用程序的性能和响应能力。拥抱threading对于任何希望在软件开发领域取得成功的人来说都是必不可少的，因为它为创建高效和可扩展的应用程序开辟了新的可能性。