Figure 2d: Response times of the 500k repository.
图2d . 500k储存库的响应时间。
Figure 3c: Processor utilization - 500k Rational Quality Manager and database servers.
图3c .处理器使用—500KRational QualityManager与数据库服务器。
I reckon I've met more than 100 people whose online business generates over 500k a year.
我计算着我已经碰见超过100个网络运营者，他们的生成每年都超过500k。
Why load a 500k interpreter if you already are running something that will do the job, and do it well?
如果正在运行的工具可以胜任工作，并且做得很好，为什么还要装入一个500k的解释器？
It was originally developed as a simple file system suitable for floppy disk drives less than 500k in size.
它最初是为小于500k的软盘驱动器设计的简单文件系统。
Income bracket [0=$0-$30k, 1=$31k-$40k, 2=$41k-$60k, 3=$61k-$75k, 4=$76k-$100k, 5=$101k-$150k, 6=$151k-$500k, 7=$501k+]
收入水平 [0=$0-$30k,1=$31k-$40k,2=$41k-$60k,3=$61k-$75k,4=$76k-$100k,5=$101k-$150k,6=$151k-$500k,7=$501k+]
The following command will load 500k records to the "UserGrid" grid using 10 threads with a rate of 200 requests per thread.
下面的命令使用了10个线程，以每个线程200个请求将500k的记录加载到“UseGrid”网格中。
The sequential thresholds chosen here range from 500K (the size of the array, meaning effectively no parallelism) down to 50.
此处选择的顺序阙值范围从 500K（数组的大小，表示没有并行性）到50。
In Figure 3c, the pink line represents the data collected for the test running on the Rational Quality Manager server with a 500k repository.
在图3c中，粉红色的行代表了为测试所收集的数据会在500 k存储库的Rational QualityManager服务器上运行。
The paper describes the blackbody with adjustable temperature at about 500K, which was made in 1980. It is used for the calibration of the IR telescope and IR detection system.
本文介绍我们在1980年完成的500K可调黑体炉，它主要用于红外望远镜和红外探测系统定标。
Figures 2c and 2d show server response times for the largest data environments, the 250k and 500k repositories, for a variety of user loads (100, 200, 300, and 500, respectively).
图2c与2d显示了最大型数据环境下，250k与500 k储存库，对于大量的用户负荷下(分别是100,200,300与500)的服务器反应时间。
Figures 2c and 2d show server response times for the largest data environments, the 250k and 500k repositories, for a variety of user loads (100, 200, 300, and 500, respectively).
图2c与2d显示了最大型数据环境下，250k与500 k储存库，对于大量的用户负荷下(分别是100,200,300与500)的服务器反应时间。
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