One of the many benefits of an FPGA-based solution
is the ability to implement a mathematical
algorithm in the best possible manner for the
problem at hand. For example, if response time
is critical, then we can pipeline the stages of mathematics.
But if accuracy of the result is more important, we can use
more bits to ensure we achieve the desired precision. Of
course, many modern FPGAs also provide the benefit of
embedded multipliers and DSP slices, which can be used to
obtain the optimal implementation in the target device.
Let’s take a look at the rules and techniques that you can
use to develop mathematical functions within an FPGA or
other programmable device.