multiprocessor

简明释义

英[ˌmʌltiˈprəʊsesə(r)]美[ˌmʌltiˈprɑːsesərˌˌmʌltiˈproʊ

n. 多重处理器

英英释义

单词用法

同义词

反义词

例句

1.Building a large multiprocessor network can take considerable space and power.

构建大型的多处理器网络可能占用相当大的空间并消耗很多电量。

2.Building a large multiprocessor network can take considerable space and power.

构建大型的多处理器网络可能占用相当大的空间并消耗很多电量。

3.Server garbage collection is available only on multiprocessor computers.

服务器垃圾回收仅在多处理器计算机上可用。

4.On a multiprocessor system, they really can run simultaneously.

在多处理器的系统中，它们确实可以同时运行。

5.I'm not a multiprocessor!

我可不是多处理器！

6.The new server is equipped with a multiprocessor system to handle multiple tasks simultaneously.

新的服务器配备了一个多处理器系统，以同时处理多个任务。

7.In gaming, a multiprocessor can significantly improve performance by distributing the workload.

在游戏中，多处理器可以通过分配工作负载显著提高性能。

8.The software was optimized for multiprocessor architecture to enhance its efficiency.

该软件经过优化，以适应多处理器架构，从而提高其效率。

9.Our research team uses a multiprocessor setup for complex simulations that require heavy computation.

我们的研究团队使用多处理器设置进行复杂的模拟，这需要大量计算。

10.With a multiprocessor system, you can run several applications without experiencing lag.

使用多处理器系统，您可以同时运行多个应用程序，而不会出现延迟。

作文

In the world of computing, the term multiprocessor refers to a system that uses multiple processors to perform tasks simultaneously. This architecture is designed to enhance performance and efficiency by allowing several processes to run concurrently. As technology continues to evolve, the significance of multiprocessor systems has become increasingly evident in various applications, ranging from servers and workstations to embedded systems and personal computers. The primary advantage of a multiprocessor system is its ability to handle multiple tasks at once. In a traditional single-processor system, tasks are executed sequentially. This means that if one task takes a long time to complete, it can significantly delay the execution of subsequent tasks. However, with a multiprocessor setup, different processors can take on separate tasks, leading to improved overall system throughput. This parallel processing capability is particularly beneficial in environments where large amounts of data need to be processed quickly, such as in scientific computing, data analysis, and real-time simulations. Moreover, multiprocessor systems can provide better resource utilization. In a multi-core processor, for example, each core can manage its own thread of execution. This allows for more efficient use of CPU resources, as idle cores can be assigned new tasks when others are busy. Consequently, users can experience faster response times and smoother performance in applications that are designed to leverage multi-core architectures. Another important aspect of multiprocessor systems is their scalability. Organizations often face growing computational demands as they expand their operations. A multiprocessor architecture allows for easy scaling; additional processors can be integrated into the existing system without significant changes to the software. This flexibility makes multiprocessor systems an ideal choice for businesses looking to future-proof their technological investments. However, designing and programming for multiprocessor systems does come with challenges. Developers must ensure that their applications can effectively utilize multiple processors, which often requires a different approach to coding than traditional single-threaded applications. Issues such as synchronization, data sharing, and load balancing become critical in ensuring that all processors are working efficiently together. Tools and frameworks have been developed to assist programmers in creating software that can take full advantage of multiprocessor capabilities, but this remains an area of ongoing research and development. In conclusion, the concept of multiprocessor systems is vital in today’s computing landscape. The ability to perform multiple tasks simultaneously not only enhances performance but also improves efficiency and resource utilization. As technology advances, we can expect to see even more sophisticated multiprocessor architectures that will continue to push the boundaries of what is possible in computing. Understanding and mastering the principles behind multiprocessor systems will be essential for anyone looking to thrive in the field of computer science and engineering.

在计算机世界中，术语multiprocessor指的是一种使用多个处理器同时执行任务的系统。这种架构旨在通过允许多个进程并发运行来提高性能和效率。随着技术的不断发展，multiprocessor系统在各种应用中的重要性变得越来越明显，从服务器和工作站到嵌入式系统和个人计算机。 multiprocessor系统的主要优势在于其同时处理多个任务的能力。在传统的单处理器系统中，任务是顺序执行的。这意味着如果一个任务需要很长时间才能完成，它可能会显著延迟后续任务的执行。然而，在multiprocessor设置中，不同的处理器可以承担各自的任务，从而提高整体系统的吞吐量。这种并行处理能力在需要快速处理大量数据的环境中尤为有利，例如科学计算、数据分析和实时模拟。 此外，multiprocessor系统可以提供更好的资源利用率。例如，在多核处理器中，每个核心可以管理自己的执行线程。这允许更有效地使用CPU资源，因为空闲的核心可以在其他核心忙碌时被分配新的任务。因此，用户可以在设计用于利用多核架构的应用程序中体验到更快的响应时间和更流畅的性能。 multiprocessor系统的另一个重要方面是它们的可扩展性。随着组织的发展，它们往往面临日益增长的计算需求。multiprocessor架构允许轻松扩展；可以在不对软件进行重大更改的情况下将额外的处理器集成到现有系统中。这种灵活性使得multiprocessor系统成为希望未来证明其技术投资的企业的理想选择。 然而，设计和编程multiprocessor系统确实存在挑战。开发人员必须确保他们的应用程序能够有效利用多个处理器，这通常需要与传统的单线程应用程序不同的编码方法。同步、数据共享和负载平衡等问题在确保所有处理器高效协同工作中变得至关重要。已经开发了工具和框架来帮助程序员创建能够充分利用multiprocessor能力的软件，但这仍然是一个持续研究和发展的领域。 总之，multiprocessor系统的概念在当今计算环境中至关重要。能够同时执行多个任务不仅提高了性能，还改善了效率和资源利用率。随着技术的进步，我们可以期待看到更复杂的multiprocessor架构，这将继续推动计算可能性的边界。理解和掌握multiprocessor系统背后的原理对于任何希望在计算机科学和工程领域蓬勃发展的个人来说都是必不可少的。