How to pronounce“floating point”in English

floating point in a computer i think i took 17 courses on this topic it was very useful i came to the right place but um but you know in terms of what a

on floating point standards and this thing emerged that came to be

I put MIP style floating point on the side of it.

And the floating point was difficult too.

It can catch some floating point errors, in terms of rounding off and those kind of things.

If they're a floating point, we have division, and so on and so forth.

to 18 floating point operations.

But integers and floating point have these, like, special promotion rules and other things like that, that are magic and they're hacked into the compiler.

or if it's floating point, do it on the GPU.

matrices of floating point numbers by taking a telescope to them and figuring out what is going on in there.

and the integers and floating Point numbers are sort of important I think

as a floating Point number and then there is the string data type which again interprets the the bit pattern as a

well computer scientists with floating point number i mean the floating point of arithmetic that is that's a great point actually

how the floating point works inside of it do you mind if i do that he covered two whiteboards yeah like 30 minutes and i hired him

in the way that floating point behaved and that was causing people throughout the

Is it like a floating point or is it like a vector or what is it, exactly?

emotionally involved such as the floating Point flaw which I'll go into if you want to but won't if you don't

That signal is now a floating point representation, which means it's more expensive to send out over a power.

says well i designed a floating point in this chip but i'd really like to tell you how the whole thing works and then tell you

called ieee 754 which is the floating point standard that pretty much has take taken over the entire universe um

using CES or some like floating Point evolutionary algorithm right we tried we

We have the fastest computers now at about 10 to 16 floating point operations per second.

can we can we can perform trillions of floating Point operations in a second

And it didn't really like dealing with floating point numbers or anything like that.

add itself to another integer and there is a type floating Point number that knows how to add itself to another floating Point number

so now we take the integer type and we take the floating Point type

it's almost like the engineering approach to things like the floating point of arithmetic the other one that back to john conway that challenges this

like computation onto the this pixel essentially you could do floating point programs on convolutions and matrices

like why can't we have like a floating point processor that can compute anything we want like and see it all properly like that

in java's terms from the c term for double precision floating point um or strings or booleans

from java to basically cast numeric types which are double precision floating point into integers

features I want to have um like I want floating point or not for example um and then what you get is you get a description of a CPU with those

Chris Lamb calculated that a typical 10 hour job probably performs about 150 quadrillion floating point math operations

Now we're talking quadrillons, quadrillions of floating point

And yeah, like giant inscrutable matrices of floating point numbers, I don't know what's going on in there.

example multiplications and additions at various different Precision's so you have for example floating point to fixed point and integer and same with

the arithmetic in the way a computer would think about arithmetic is a floating point floating point arithmetic a high precision arithmetic not only

But it turns out that with floating point numbers when you try to solve the problem with those, you can compare it with the exact solution.

If you zoom all the way into a compute problem, you have one floating point number, right?

Arranging some kind of a crazy quantum mechanical system that somehow gives you buffer overflow somehow gives you a rounding error and the floating point.

humans are still better than machines are calculating are you surprised today that a machine can you know do a billion floating point

so well independently when we put it together we won't find all these interaction bugs because the floating point knows how the cache works

shading and lighting and all that kind of stuff i don't know what they look like little simple floating point programs or complicated ones you

and there's a lot of numbers that are thrown around in AI training, like how many floating point operations or FLOPS are used.

Had to do an ARM6, and an ARM7, an ARM8 for Acorn plus floating point and video controller.

So it's like, well, you know, can you have a notion of like an integer floating point that is quantum mechanical?

But if you wanna say, hey, it's an integer and it's 32 bits, or it's 64 bits or whatever it is, or it's a floating point value and it's 64 bits,

And so they're all these types arithmetic, like, all these tensors and floating point integer and, like, there's this category of of types.

Arranging some kind of a crazy quantum mechanical system that somehow gives you buffer overflow, somehow gives you a rounding error in the floating point.