The problem of searching complex spaces with difficult to model or even blackbox functions arises in many domains. One such domain is hardware design in computer architecture. As hardware and software become more sophisticated, the importance and difficulty of finding an optimal design increases. We explore the use of Bayesian optimization on a problem of hardware design. Applying this approach on an example where traditional methods to optimize blackbox functions don’t apply, this method outperforms a naive approach in both number of samples and the quality of the solution found.