多线程和并行处理是因为我读了相关文章，觉得它看起来很有趣，然后再自己把它弄清楚了；然后我就一直使用这些技术来写应用。
Multithreading and parallel processing came about because I read articles on it, thought it sounded interesting, and figured it out on my own; I keep writing apps that use those techniques.
这种并行性（或多线程）问题在于确保您希望为其更新信息的线程，仅影响正在处理的数据和信息。
This issue with concurrency (or multi-threading) is ensuring that threads that you want to update the information with only affect the data and information you are processing.
此类架构在多线程应用程序中运行良好，该类应用程序中线程可能被分配给多个处理器以实现并行操作。
This type of architecture works well in multi-threaded applications where threads can be distributed across the processors to operate in parallel.
系统采用了并行计算机制和多线程机制，并对算法进行了优化，从而满足数据的实时处理要求。
Real time data processing is fulfilled as parallel computation and multithreading are adopted, and algorithms are optimized.
如果你的服务器能够并行处理150个客户端请求，那么它会同时处理很多线程。
If your server is processing 150 client requests in parallel, then it is doing a lot of multi-threading.
主要技术包括：多线程技术并行处理用户交互、晶闸管数字触发、PID参数的自整定等任务；
The main techniques are: multithread technique to parallel handle three task of user interface, thyristor digital trigger and adjust PID parameter automatically;
熟悉并行处理和多线程开发技术。
Familiar with parallel processing and multithread programming techniques.
但是，多核处理器的并行性并不肯定会带来性能的提高，反而可能会加剧多线程资源争用问题。
However, the parallelism of multi-core processors didn't certainly bring the improvement of performance, but would make the resource contention problem more intense.
网络处理器以高度并行、硬件多线程、多级存储和灵活可编程等先进技术提供高速的数据包处理性能。
Network processor can analyze packets in parallel mode and shorter inner latency by using hardware threads, multi-level memories, and obtain flexibility by using programmable components.
为了充分利用多核处理器资源，研究了多线程构建模块并行编程模式，从而提高程序的性能。
In order to take full advantage of multi-core processor resources, the parallel programming model by building blocks with multithreading was studied, hence improving the performance of the program.
为了充分利用多核处理器资源，研究了多线程构建模块并行编程模式，从而提高程序的性能。
In order to take full advantage of multi-core processor resources, the parallel programming model by building blocks with multithreading was studied, hence improving the performance of the program.
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