Coder Summit: Simulate with Flush to Zero to Avoid Pains in Model-Based Design Workflows

When your model and generated code results do not match, denormal numbers may be the cause.

Flush-to-zero math, in particular, is a common cause for mismatches since gradual underflows used in simulation are not often used in embedded systems.Most embedded design uses Flush to zero for faster math.

Learn how new features in Fixed-Point Designer™ let you  use gradual underflow for plant of environment models, and Flush to zero for your embedded algorithms.

This approach provides the best numerical accuracy for system simulation, while providing more optimized code that matches your embedded system.