program execution time

简明释义

程序执行时间

英英释义

例句

1.By using parallel processing, we can improve the program execution time for large datasets.

通过使用并行处理，我们可以改善大数据集的程序执行时间。

2.We need to analyze the program execution time to identify any bottlenecks in the system.

我们需要分析程序执行时间以识别系统中的瓶颈。

3.Monitoring the program execution time helps developers enhance application performance.

监控程序执行时间有助于开发人员提升应用性能。

4.The optimization of the algorithm significantly reduced the program execution time.

算法的优化显著减少了程序执行时间。

5.The new hardware configuration has decreased the program execution time by 30%.

新的硬件配置将程序执行时间减少了30%。

作文

In the realm of computer science, understanding the concept of program execution time is crucial for both developers and users. The program execution time refers to the total amount of time taken by a program to complete its task from the moment it starts running until it finishes. This metric is vital as it directly impacts the overall performance of software applications. A program that executes quickly enhances user satisfaction, while a slow program can lead to frustration and decreased productivity.When developing software, programmers often focus on optimizing the program execution time. This involves analyzing the code to identify bottlenecks or inefficient algorithms that may slow down the execution process. For instance, a simple loop that iterates through a large dataset can significantly increase the program execution time if not implemented efficiently. Therefore, employing data structures and algorithms that are well-suited for the task at hand is essential in reducing execution time.Furthermore, the program execution time can be influenced by various factors, including hardware specifications, system load, and the programming language used. For example, programs written in lower-level languages like C or C++ often execute faster than those written in higher-level languages like Python, due to the former's closer proximity to machine code. However, this does not mean that higher-level languages are inherently inferior; they often provide better readability and ease of use, which can be beneficial during the development phase.In addition to the coding aspect, the environment in which a program runs also plays a significant role in determining its program execution time. For instance, if a program is executed on a machine with limited resources, such as low RAM or an older processor, its execution time may increase significantly. Conversely, running the same program on a high-performance machine could lead to a drastic reduction in program execution time. Thus, it is important for developers to consider the target environment when designing their applications.Measuring program execution time is also a critical aspect of performance testing. Various tools and methodologies exist to help developers assess how long their programs take to run. Profiling tools can provide insights into which parts of the code consume the most time, allowing developers to focus their optimization efforts where they will have the greatest impact. By systematically measuring and analyzing program execution time, developers can make informed decisions about where to allocate resources for improvement.Lastly, it is essential to recognize that while minimizing program execution time is important, it should not come at the expense of code maintainability or readability. Striking a balance between performance and code quality is a challenge that every developer faces. In many cases, a slight increase in execution time may be acceptable if it leads to cleaner, more maintainable code.In conclusion, the concept of program execution time is integral to software development and performance optimization. By understanding what affects execution time and how to measure it, developers can create more efficient and user-friendly applications. As technology continues to advance, the importance of optimizing program execution time will only grow, making it a fundamental skill for anyone involved in programming and software development.

在计算机科学领域，理解程序执行时间的概念对于开发人员和用户来说至关重要。程序执行时间是指程序从开始运行到完成任务所需的总时间。这个指标非常重要，因为它直接影响软件应用程序的整体性能。一个执行快速的程序可以提高用户满意度，而一个缓慢的程序则可能导致挫败感和生产力下降。在开发软件时，程序员通常会专注于优化程序执行时间。这涉及分析代码，以识别可能减慢执行过程的瓶颈或低效算法。例如，一个简单的循环遍历大型数据集，如果实现不够高效，可能会显著增加程序执行时间。因此，采用适合任务的数据结构和算法对于减少执行时间至关重要。此外，程序执行时间可能受到多种因素的影响，包括硬件规格、系统负载和使用的编程语言。例如，用较低级语言（如C或C++）编写的程序通常比用较高级语言（如Python）编写的程序执行得更快，因为前者更接近机器代码。然而，这并不意味着高级语言本质上劣于；它们通常提供更好的可读性和易用性，这在开发阶段可能是有益的。除了编码方面，程序运行的环境也在决定其程序执行时间中扮演着重要角色。例如，如果在资源有限的机器上执行程序，例如低RAM或较旧的处理器，其执行时间可能会显著增加。相反，在高性能机器上运行同一程序可能会导致程序执行时间的急剧减少。因此，开发人员在设计应用程序时必须考虑目标环境。测量程序执行时间也是性能测试的重要方面。各种工具和方法存在，帮助开发人员评估他们的程序运行所需的时间。分析工具可以提供有关代码中哪些部分消耗最多时间的洞察，使开发人员能够将优化工作集中在影响最大的地方。通过系统地测量和分析程序执行时间，开发人员可以就资源分配做出明智的决策。最后，必须认识到，虽然最小化程序执行时间很重要，但这不应以牺牲代码的可维护性或可读性为代价。平衡性能和代码质量是每个开发人员面临的挑战。在许多情况下，执行时间的轻微增加可能是可以接受的，如果它能导致更清晰、更易维护的代码。总之，程序执行时间的概念对软件开发和性能优化至关重要。通过理解影响执行时间的因素以及如何测量它，开发人员可以创建更高效和用户友好的应用程序。随着技术的不断进步，优化程序执行时间的重要性只会增加，这使其成为参与编程和软件开发的每个人都必须掌握的基本技能。