Is integer math faster than floating point?

Integer sums (and AND / OR / XOR ) and products take the same time, divisions (and modulo) are three times slower. Floating-point products are twice slower than sums, and divisions even slower. Floating-point operations are always slower than integer ops at same data size. Smaller is faster.

Are integers faster math?

In cases in which latency matters — such as the case where one calculation relies on the results of a previous calculation — then integer operations are almost always faster as they generally have shorter latencies.

Is fixed point faster than floating point?

Comparison with floating-point Fixed-point computations can be faster and/or use less hardware than floating-point ones. If the range of the values to be represented is known in advance and is sufficiently limited, fixed point can make better use of the available bits.

Why is integer division slow?

Division is per se slower than multiplication, however, I don’t know the details. The basic reason is that, similar to functions such as sin or sqrt, it’s just mathematically more complex. IIRC, a multiplication takes about 10 cycles on an average CPU, while a division takes about 50 or more.

Is floating point multiplication slower than addition?

Consequently, addition is always faster because that’s the final step of a multiplication. (Floating point is a little different, but not significantly so).

What is difference between float and integer?

Integers and floats are two different kinds of numerical data. An integer (more commonly called an int) is a number without a decimal point. A float is a floating-point number, which means it is a number that has a decimal place. Floats are used when more precision is needed.

What is the difference between fixed point and floating point?

The difference between fixed point and floating point is that fixed point has a specific number of digits reserved for the integer part and fractional part while floating point does not have a specific number of digits reserved for the integer part and fractional part.

Which is faster floating point division or integer division?

Floating point number division is faster than integer division because of the exponent part in floating point number representation. To divide one exponent by another one plain subtraction is used.

Is floating point multiplication faster than division?

3 Answers. Multiplication is faster than division. At university I was taught that division takes six times that of multiplication. The actual timings are architecture dependent but in general multiplication will never be slower or even as slow as division.

Is it better to do calculations in integer or floating point?

Today, integer operations are usually a little bit faster than floating point operations. So if you can do a calculation with the same operations in integer and floating point, use integer. HOWEVER you are saying “This causes a whole lot of annoying problems and adds a lot of annoying code”.

Is 32 bit float faster than 64 bit?

Floating-point operations are always slower than integer ops at same data size. Smaller is faster. 64 bits integer precision is really slow. Float 32 bits is faster than 64 bits on sums, but not really on products and divisions.

Is floating point programming faster than regular programming?

In that case, floating point will run faster because the floating-point code is simpler, which means it is faster to write the code, which means that if it is speed critical, you can spend more time optimising the code. I ran a test that just added 1 to the number instead of rand ().

Is Float product faster than sum in AVX?

On x86-64 AVX, float product is faster on 64 bits data than on 32 bits. On POWER8 AltiVec, float product is as fast as sum, on every precisions; integer operations are performed at the same speed on 8, 16, 32 or 64 bits integers. On ARM1176, bitwise integer operators are faster than additions.