Following the guidelines below will help autovectorization of the loop.
- Statements within the loop body may contain float or double operations (typically on arrays). The following arithmetic operations are supported: addition, subtraction, multiplication, division, negation, square root, MAX, MIN, and mathematical functions such as SIN and COS.
- Writing to a single-precision scalar/array and a double scalar/array within the same loop decreases the chance of autovectorization due to the differences in the vector length (that is, the number of elements in the vector register) between float and double types. If autovectorization fails, try to avoid using mixed data types.