Overview: Tuning Performance

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

• Avoid exceeding representable ranges during computation; handling these cases can have a performance impact.
• Use a single-precision type (for example, float) unless the extra precision and/or range obtained through double or long double is required. Greater precision types 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.