Identify, trace, and debug the sources of overflow, precision loss, and wasted range or precision in your design. Compare numerical behavior against an ideal floating-point baseline.

Generate numerically rich data to test the full operating range of your designs. Test the numerical consistency of your algorithms with fixed-point and floating-point values of varying dimensions, complexity, and data types.

Use design cost model metrics to estimate the cost of implementing your design in hardware. Analyze your model and report detailed cost data such as the size of the program in generated code.