Overview: Tuning Performance

This section describes several programming guidelines that can help you improve the performance of a floating-point applications:

• Avoid exact floating-point comparisons
• Avoid exceeding representable ranges during computation; handling these cases can have a performance impact.
• Use REAL variables in single precision format unless the extra precision obtained through DOUBLE or REAL*8 is required because a larger precision formation will also increase memory size and bandwidth requirements. See Using Efficient Data Types section.
• Reduce the impact of denormal exceptions for all supported architectures.
• Avoid mixed data type arithmetic expressions.