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Helping end users find and fix performance issues in visual dataflow code

机译:帮助最终用户发现并修复可视数据流代码中的性能问题

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How a program performs can have a powerful effect on its value and how effective it is. Professional software engineers have long known this and strive to improve performance. Some end-user programmers, particularly scientists, also share this concern about performance. There are many systems where when something happens, or how fast code can execute is of utmost importance. For example, code written by a lab technician might need to read a signal every 100 milliseconds. While the code might be correct, it could be written inefficiently and execute every 250 milliseconds, thus missing the desired read time.
机译:程序的执行方式可以对其价值及其有效性产生重大影响。专业软件工程师早就知道这一点,并致力于提高性能。一些最终用户程序员,特别是科学家,也对性能有同样的担忧。在许多系统中,什么时候发生或代码执行速度如何至关重要。例如,由实验室技术人员编写的代码可能需要每100毫秒读取一次信号。尽管代码可能是正确的,但它的编写效率低下,并且每250毫秒执行一次,因此缺少所需的读取时间。

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