有时，推测一下如果对硬件组件进行了更改，系统的运行方式会有多大的不同是很有趣的。今天的超级用户问答帖子讨论了如何增加内存以满足读者的好奇心。

今天的问答环节是由SuperUser提供的，SuperUser是Stack Exchange的一个分支，是一个由社区驱动的问答网站分组。

图片由WDA协会（Flickr）提供。

问题

超级用户读者spartacus想知道增加内存大小是否会导致它变慢：

If we increased the size of SDRAM using the same technology, would the resp***e time become slower? If it did become slower, would it be due to the complexity of digital logic?

大小的增加会导致内存变慢吗？

答案

超级用户贡献者danielr Hicks和Shikhar Bhardwaj为我们提供了答案。首先，丹尼尔·希克斯：

Yes and no. As duDE states, memory will never run faster than the bus/clock speed driving it, but the maximum speed of memory is definitely dependent on size.

As a memory assembly gets larger, the number of levels of address decoder increase (with the log of size), and the load on the drivers increases linearly (producing roughly a logarithmic increase in delay).

So, while it is rarely worthwhile to limit the size of RAM in a off-the-shelf system in an attempt to increase speed (there are excepti*** where the box adjusts clock speed based on the size of RAM), if you are a system designer, the maximum RAM size is one of the performance trade-offs you must c***ider.

接着是希哈尔·巴尔德瓦吉的回答：

No, it does not. As SDRAM is synchronized with the system, memory speed depends on the speed of the system. What may affect the speed of memory access is the configuration it is used in.

If your build already has a dual-channel (or triple-channel) configuration, and the increased memory does not use identical modules, then you may slow down to single-channel operation. However, this decrease is hardly noticeable, as Wikipedia says:

• Tom’s Hardware found little significant difference between single-channel and dual-channel configurati*** in synthetic and gaming benchmarks (using a “modern (2007)” system setup). In its tests, dual-channel gave at best a 5 percent speed increase in memory-intensive tasks.

In this case, the speed may decrease, but you will experience an overall boost in performance due to the greater amount of physical memory available to your operating system. This, of course, depends on the operating system you are using and how efficient it is at utilizing the available resources.

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