A managed programming model for data parallelism, task parallelism, and coordination on parallel hardware unified by a common work scheduler.
一个托管编程模型，支持数据并行处理，任务并行处理，并通过一个通用的工作调度器统一协调并行运行的硬件。
As mentioned before, parallelism implies the parallel-processing capability of a task where the task is split to different subtasks with consolidation at the end.
正如之前提到的，并行性指的是任务的并行处理能力，其中任务会分成不同的子任务，它们最后会合并为一个。
In the content of this article, parallelism is the ability to execute multiple requests in parallel or to split a large dataset task into multiple subtasks which are executed in parallel.
在本文的内容中，并行性指的是能够并行执行多个请求或者将大数据量任务划分成多个并行执行的子任务。
OAT allows you to select the desired parallelism and displays information about the task as a whole as well as details about the individual parts.
OAT允许选择想要的“并行性”，并显示任务的总体信息和关于个别部分的细节信息。
Returns a string identifying this pool, as well as its state, including indications of run state, parallelism level, and worker and task counts.
返回可识别此线程池的字符串及它的状态，包括运行状态、并行级别、工作线程和任务数量。
The task scheduling strategy strongly affects availability & parallelism.
任务调度策略对可用性和并行性影响极大。
The task scheduling strategy strongly affects availability & parallelism.
任务调度策略对可用性和并行性影响极大。
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