Testing digital hardware has never been an easy job, and it won’t get easier any time soon. But that doesn’t mean writing test code can’t be enjoyable and productive! Cocotb, an approach to use Python as verification language, is bringing the joy back to verification. It allows developers to start with small, directed testbenches, and evolve them into more thorough constraint-random tests. Much has been said in the past about directed tests and system-level tests with cocotb. In this talk, we’ll explore how to design more advanced constraint random testbenches. We’ll look at the different approaches for constraint random verification in cocotb and how you can turbocharge your next cocotb test problem!
- A very quick cocotb introduction
- What is constraint random verification?
- ow to use constraint random with cocotb:
- different approaches
- A look at code examples
FPGA Design – Verification Code, Functional and Specification Coverage
Functional coverage is often mentioned together with constrained-random verification, which is a great combination.
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The FPGA design architecture is the single most important and primary factor in achieving development efficiency, quality, and reliability. The difference between a good and a bad design architecture can be about 50% of the workload.
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