Examples of using Floating point in English and their translations into Bengali
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Computer
Floating Point Unit.
CPU364 has firmware-based floating point math.
Floating point numbers are.
Caution must be exercised when working with floating point values.
The Floating Point Unit.
Python supports two types of numbers- integers and floating point numbers.
Floating Point Math: Yes.
Variables and fields may be(floating point) numbers, or strings, or both.
Floating Point Operations Per Second.
FL Studio processes audio using an internal 32-bit floating point engine.
The Floating Point Engine.
It supports RAM and flash memorytypes and has a firmware based floating point math support.
Floating Point Operations Per Second.
The speed of super computers generally measured in“FLOPS”(Floating Point Operations Per Second).
Floating point DSPs may be invaluable in applications where a wide dynamic range is required.
The power of a supercomputeris commonly measured in“flops,” which stands for floating point operations per second.
Performance, floating point design, using the original concept of air layer can enhance of the life of the product, also will reduce the friction of the phone.
This is very annoying, and Java should have come up with a better solution,ie building in floating point library calls if necessary.
This way, by the time you get to the floating point part, you already got rid of all the numbers whose 2-power part is odd(about half), and then you only consider 1/8 of whats left.
If you really want decimal numbers for calculation(and not only for output),do not use a binary-based floating point format like double.
Feature:+ Lightweight and works fast, able to convert floating point number+ Nice and modern interface, allow to choose light theme or….
TMS320C6474 chips each have three such DSPs,and the newest generation C6000 chips support floating point as well as fixed point processing.
Product developers might also use floating point DSPs to reduce the cost and complexity of software development in exchange for more expensive hardware, since it is generally easier to implement algorithms in floating point. .
The proper way to accomplish the fast inverse square root, in a more standard conforming way,is to type-pun floating point values and integers through a union type.
Or better yet, replace branches with conditional-moves wherever possible,especially after floating point operations because their pipe is usually deeper and reading the condition flags after fcmp can cause a stall.
The advantages in speed offered by the fast inverse square rootkludge came from treating the longword containing the floating point number as an integer then subtracting it from a specific constant, 0x5F3759DF.
This integer subtraction andbit shift results in a longword which when treated as a floating point number is a rough approximation for the inverse square root of the input number.
For example, the IBM System/360 instruction set was primarily 32 bit, but supported 64-bit floating point values to facilitate greater accuracy andrange in floating point numbers.
For example, the IBM System/370 used a CPU that was primarily 32 bit, but it used 128-bit precision inside its floating point unitsto facilitate greater accuracy and range in floating point numbers[4].
Most DSPs use fixed-point arithmetic, because in real worldsignal processing the additional range provided by floating point is not needed, and there is a large speed benefit and cost benefit due to reduced hardware complexity.