【发布时间】:2013-09-11 03:56:09
【问题描述】:
我在 R 中采用并行计算,并做一些基准测试工作。我注意到当使用多个内核时,system.time 显示user 和system 的时间增加,但elapsed 时间减少了。这是否表明并行计算有效?谢谢。
【问题讨论】:
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查看右侧“相关”下的链接。
标签: r parallel-processing
我在 R 中采用并行计算,并做一些基准测试工作。我注意到当使用多个内核时,system.time 显示user 和system 的时间增加,但elapsed 时间减少了。这是否表明并行计算有效?谢谢。
【问题讨论】:
标签: r parallel-processing
如果您使用help(system.time),您会得到提示,也可以查看help(proc.time)。我引用了它的帮助页面:
价值:
An object of class ‘"proc_time"’ which is a numeric vector of length 5, containing the user, system, and total elapsed times for the currently running R process, and the cumulative sum of user and system times of any child processes spawned by it on which it has waited. (The ‘print’ method uses the ‘summary’ method to combine the child times with those of the main process.) The definition of ‘user’ and ‘system’ times is from your OS. Typically it is something like _The ‘user time’ is the CPU time charged for the execution of user instructions of the calling process. The ‘system time’ is the CPU time charged for execution by the system on behalf of the calling process._ Times of child processes are not available on Windows and will always be given as ‘NA’. The resolution of the times will be system-specific and on Unix-alikes times are rounded down to milliseconds. On modern systems they will be that accurate, but on older systems they might be accurate to 1/100 or 1/60 sec. They are typically available to 10ms on Windows.
【讨论】: