Abstract
This work provides new perspectives on impact of design effort, consumed resources and design abstraction on hardware performance in a high-level synthesis flow. We have shown that counter to published literature as well as intuition; more design effort may not always result in better performance. We developed a kernel that simulates Brownian motion, and investigated improvement in hardware performance with design effort at various abstraction levels. Our results indicate that a designer should be careful in putting more effort at a particular abstraction level. In our case, we achieved best performance/effort ratio at algorithm level rather than lower abstraction levels. This strongly suggests that design effort is not always proportional to corresponding improvement in performance.
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