What is Floating-Point Performance?

Techquickie ·Techquickie ·2018-05-06 · 785 words · ~3 min read
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0:07 comes to processor speed whether it's a CPU or a GPU you probably think in
0:13 megahertz or gigahertz at first but
0:16 these numbers aren't actually very useful if you're comparing processors
0:21 across different models so maybe that's
0:24 why graphics card makers in particular have started leaning on a specification
0:29 called flops to describe their latest and greatest hardware but what does that
0:34 mean I mean is that a measure of how many disappointing $60 games your card
0:39 will run before it dies no flops is a
0:43 performance metric that stands for floating-point operations per second now
0:48 this might sound like the time it takes for your magic 8-ball to give you an
0:53 answer but it's really a measure of how quickly your processor can do math that
0:58 involves a mix of large small and fractional numbers and it matters
1:03 because computers only have a finite amount of space to store the numbers
1:08 that they work with for a single number this is typically either 32 or 64 bits
1:14 depending on what processor and program you're using so in order to express a
1:19 range of very large and very small numbers some of these bits are allocated
1:24 destroying the digits of the number itself while others are reserved to
1:28 specify where the decimal point should be a little bit like scientific notation
1:33 this makes it easy to express huge or
1:36 tiny numbers in a limited number of bits
1:39 but keep in mind that floating-point operations are less straightforward for
1:44 your processor to carry out than ones that only involve integers due to the
1:48 computer needing to deal with ever-changing exponents converting them
1:52 to and from decimal numbers and rounding them off now if you watched our episode
1:57 explaining the difference between CPUs and GPUs which if you haven't you can
2:02 check out here you might already understand why it's more common to see a
2:07 flops measurement on a graphics card spec page versus one for a CPU much of
2:13 the math your GPU needs to do in order to render the images that you see on
2:17 your screen uses vectors to determine where each line and shape should go and
2:22 crunching these numbers involves using many different floating-point numbers
2:27 whose exponent values can vary quite a bit now supercomputers and more powerful
2:32 workstations used for scientific research and weather modeling are also
2:37 often described in terms of flops as they also heavily rely on using
2:42 floating-point numbers but what exactly
2:45 does any of this mean for you out there yes you Tom Smith who's just trying to
2:51 score a good deal on a video card should you go for whatever has the highest
2:55 flops that you can still afford the answer is probably no even though more
3:01 flops does indicate more raw computational power it means it's better
3:07 in the same way that a CPU with more megahertz or a digital camera with more
3:12 megapixels is better many other things
3:16 will play a huge role in how good of an experience you'll have with your
3:20 graphics card including memory capacity and bandwidth the specific architecture
3:25 that your GPU uses and even how nicely the drivers play with the specific games
3:30 in your library so the takeaway here is that unless you're an AI or Big Data
3:35 researcher there's no need to be all starry-eyed at how the new Titan V has a
3:41 hundred and ten teraflops of pure power
3:45 but at least you know that the specification on the back of the box
3:50 doesn't refer to the sound that your wallet makes as it
3:54 flops down on the checkout counter
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