Examples of using Floating point in English and their translations into Hindi
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Colloquial
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Ecclesiastic
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Ecclesiastic
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Computer
supercomputers are measured in floating point operations per second(FLOPS).
The assumption that real and double precision have exactly 24 and 53 bits in the mantissa respectively is correct for IEEE-standard floating point implementations.
In binary format each of the numbers is stored as a single-precision 32 bit floating point number.
One petaflop is a million billion floating point operations per second
In many ways it was quite similar to modern machines, pioneering numerous advances, such as floating point numbers.
while on the other hand super computers are measured in FLOPS(floating point operations per second).
An FPU is a processor or part of a processor that performs floating point calculations.
The extra_float_digits setting controls the number of extra significant digits included when a floating point value is converted to text for output.
Not the least of these is an IBM blue gene supercomputer performing nearly six quadrillion floating point operations per second!
The greatest advantage of the above processors are that it do not contain Floating point instructions.
Floating-Point Unit: A floating point unit is an integrated circuit which handles all mathematical operations that have anything to do with floating point numbers or fractions.
For those who aren't familiar, a“FLOP” just means“Floating Point Operations Per Second”.
Using a floating point inside the kernel requires manually saving and restoring the floating point registers, among other possible chores.
It is a dedicated logic unit specifically designed to work on floating point numbers and nothing else, hence the name.
The limb becomes the fixed point and the joint becomes the floating point by nature of the naturally occurring mechanical relationship of a universal joint.
Typically, numeric parameters can be represented by integers, though it is possible to use floating point representations.
the location of the decimal point are both encoded within the value- that's what makes decimal still a floating point type instead of a fixed point type.
However, integer operations use different logic than floating point operations that makes it inefficient to use the same processor
FPU- A floating point unit(FPU), also known as a math coprocessor
However, integer operations use significantly different logic than floating point operations, which makes it inefficient to use the same processor to handle both types of operations.