antimultiple processing
简明释义
去多次波处理;
英英释义
例句
1.The antimultiple processing feature in the application helps maintain system stability by avoiding resource conflicts.
应用程序中的反多重处理功能通过避免资源冲突来帮助维护系统稳定性。
2.In our data analysis project, we implemented antimultiple processing to ensure that duplicate data entries were not processed more than once.
在我们的数据分析项目中,我们实施了反多重处理,以确保重复的数据条目不会被处理超过一次。
3.The new software update includes an option for antimultiple processing, which prevents multiple instances of the same task from running simultaneously.
新软件更新包括一个选项,用于反多重处理,防止同一任务的多个实例同时运行。
4.The team decided to incorporate antimultiple processing in their workflow to streamline project management.
团队决定在他们的工作流程中加入反多重处理,以简化项目管理。
5.By utilizing antimultiple processing, we can improve the efficiency of our server operations significantly.
通过利用反多重处理,我们可以显著提高服务器操作的效率。
作文
In the realm of modern computing, the term antimultiple processing refers to a sophisticated approach aimed at optimizing the performance of systems by minimizing the effects of simultaneous processing tasks. This concept is particularly relevant in environments where multiple processes are executed concurrently, often leading to resource contention and inefficiencies. The essence of antimultiple processing lies in its ability to streamline operations, ensuring that each process receives the necessary resources without interference from others.To better understand antimultiple processing, one must consider the challenges posed by traditional multi-processing systems. In such systems, when several processes attempt to access shared resources like CPU, memory, or input/output devices, they can inadvertently cause delays and performance bottlenecks. This scenario is often described as resource contention, where multiple processes compete for limited resources, resulting in increased latency and reduced throughput.In contrast, antimultiple processing employs various strategies to mitigate these issues. For instance, it may involve prioritizing certain processes over others based on their urgency or importance. By implementing a scheduling algorithm that favors critical tasks, systems can ensure that essential operations are completed promptly, while less critical ones are deferred or executed in a more controlled manner.Another key aspect of antimultiple processing is the use of resource allocation techniques that prevent conflicts between processes. This might include locking mechanisms that allow only one process to access a particular resource at a time, thereby avoiding the chaotic scenario where multiple processes try to read or write data simultaneously. Additionally, advanced systems may leverage techniques such as load balancing and resource pooling to distribute workloads evenly across available resources, further enhancing overall efficiency.The benefits of antimultiple processing extend beyond mere performance improvements. By reducing the likelihood of errors and system crashes caused by resource contention, organizations can achieve greater reliability in their computing environments. This reliability is crucial, especially in mission-critical applications where downtime can lead to significant financial losses or reputational damage.Furthermore, the implementation of antimultiple processing can lead to cost savings in terms of hardware utilization. Efficiently managing resources means that organizations do not need to invest heavily in additional hardware to accommodate peak loads, as existing infrastructure can handle varying demands more effectively.In conclusion, the concept of antimultiple processing represents a vital advancement in the field of computing. By addressing the challenges associated with concurrent processing, it enhances system performance, reliability, and resource utilization. As technology continues to evolve, the principles underlying antimultiple processing will likely play an increasingly important role in shaping the future of computing, ensuring that systems can operate efficiently in an ever-demanding digital landscape.
在现代计算领域,术语antimultiple processing指的是一种旨在通过最小化同时处理任务的影响来优化系统性能的复杂方法。这个概念在多个进程并发执行的环境中特别相关,这往往会导致资源竞争和低效。antimultiple processing的本质在于其能够简化操作,确保每个进程在不受其他进程干扰的情况下获得必要的资源。为了更好地理解antimultiple processing,必须考虑传统多处理系统所带来的挑战。在这种系统中,当多个进程试图访问共享资源(如CPU、内存或输入/输出设备)时,它们可能会无意中造成延迟和性能瓶颈。这种情况通常被描述为资源竞争,其中多个进程争夺有限的资源,从而导致延迟增加和吞吐量减少。相比之下,antimultiple processing采用各种策略来减轻这些问题。例如,它可能涉及根据任务的紧迫性或重要性优先考虑某些进程。通过实施一种优先考虑关键任务的调度算法,系统可以确保基本操作及时完成,而较不重要的任务则被推迟或以更受控的方式执行。antimultiple processing的另一个关键方面是使用资源分配技术,以防止进程之间的冲突。这可能包括锁机制,只允许一个进程在特定时间访问某个资源,从而避免多个进程同时尝试读取或写入数据的混乱场景。此外,先进的系统可能利用负载均衡和资源池化等技术,进一步增强整体效率,通过均匀分配可用资源的工作负载。antimultiple processing的好处不仅限于性能提升。通过降低由于资源竞争导致的错误和系统崩溃的可能性,组织可以在计算环境中实现更大的可靠性。这种可靠性尤其重要,特别是在关键任务应用中,停机可能导致重大财务损失或声誉损害。此外,实施antimultiple processing还可以在硬件利用方面节省成本。有效管理资源意味着组织不需要在额外硬件上投入大量资金来适应峰值负载,因为现有基础设施可以更有效地处理变化的需求。总之,antimultiple processing的概念代表了计算领域的重要进步。通过解决与并发处理相关的挑战,它提高了系统性能、可靠性和资源利用率。随着技术的不断发展,antimultiple processing背后的原则可能在塑造计算未来方面发挥越来越重要的作用,确保系统能够在日益苛刻的数字环境中高效运行。
相关单词