我想知道如果现在浮点运行的速度比以前更快，是否值得考虑固定点？是否有一般的经验法则，我们可以说它会超过几个百分点？从35000英尺的数字表现来看，什么是概述？ （顺便说一句，我假设一般的CPU在大多数电脑中找到，而不是DSP或专门的嵌入式系统。） 解决方案
还是值得的。浮点比过去快，但定点也是。如果您关心IEEE 754保证的精度，那么固定仍然是唯一的选择。
For intense number-crunching i'm considering using fixed point instead of floating point. Of course it'll matter how many bytes the fixed point type is in size, on what CPU it'll be running on, if i can use (for Intel) the MMX or SSE or whatever new things come up...
I'm wondering if these days when floating point runs faster than ever, is it ever worth considering fixed point? Are there general rules of thumb where we can say it'll matter by more than a few percent? What is the overview from 35,000 feet of numerical performance? (BTW, i'm assuming a general CPU as found in most computers, not DSP or specialized embedded systems.)
It's still worth it. Floating point is faster than in the past, but fixed-point is also. And fixed is still the only way to go if you care about precision beyond that guaranteed by IEEE 754.
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