EFLOPS is a unit of the speed of computer systems, equal to one quintillion floating-point operations per second.

EFLOPS表示每秒执行一千万亿次的算。

So what did we do? We're using the fact that, you know, we have a gigaflop sitting here.

所以我们怎么做的呢？我们用到了千兆次算。

Several methods have been developed to represent floating point numbers.

已经开发了几种方法来表示数。

And I'm doing some floating point arithmetic, ultimately.

最后，我在做一些算。

There was float, which is a real number with a decimal point.

有一个数，是一个带数的实数。

Plus, rounding errors are inherent in floating point computations.

另外，舍入误差是计算中固有的。

There's an infinite number of floating point real numbers in the world.

世界上有无数的实数。

I'll invoke instantiateEntity and then pass in a float 3, 4, 0, 4.

我将调用 instantiateEntity，然后传入数 3、4、0、4。

These are called " floating point" numbers, because the decimal point can float around in the middle of number.

这些被称为“”数字，因为数可以在数字中间。

If it only has a finite number of bits, 32, via which to represent a float.

果它只有有限个位， 32表示数。

Essentially value types like bytes, ints, floating points, simpler data types.

本质上是值类型，字节、整数、、更简单的数据类型。

Int dimension x, int dimension y, and float spacing.

整型尺寸 x、整型尺寸 y 和间距。

Now inside of the curly braces, we'll set the value to a new float at coordinate 204.

现在，在大括号内，我们将把值设置为坐标 204 处的新数。

Similarly, a double is like a floating point value.

类似地，double类似于值。

This time I'm using floats, but let's go ahead and just run this.

这次我用的是数，但让我们继续行这个。

Let's just store the float A in the first element of the native array.

我们将数 A 存储在本机数组的第一个元素中。

Percent f is going to be for a floating point value.

百分比f是一个值。

They are giant, inscrutable matrices of floating point numbers that we nudge in the direction of better performance until they inexplicably start working.

它们是无法参透的大型数矩阵，我们在朝着更好的性能试探着前进，直到它们莫名其妙地行起来。

Or maybe floating point values, like 3.14159, or other such values.

或者是值，比3.14159，或者其他类似的值。

It'll be a native array of floats.

它将是一个原生的数组。