Plunify helps design engineers set up and execute regression workflows to evaluate many different scenarios. These regressions enable engineers to quickly make informed decisions on possible design outcomes.
Using Plunify’s build comparison features, engineers can rapidly run and compare builds to effectively see how different changes affect their designs.
In the initial stages of a design, hardware decisions have not been finalized, and design engineers may want to explore different device families, speed grades and IP modules parameters. The results of these evaluations affect how the product is tested and deployed eventually.
Plunify enables engineers to set up and run such experiments in parallel to gather data. The data from these exploratory builds is automatically summarized and organized to help engineers and engineering management make informed decisions.
Reducing power, increasing maximum frequency, lowering area utilization are optimization goals that design engineers aim for after getting a design to work. Changes in timing may have effects on area or power so balancing tradeoffs while maximizing primary objectives is a priority.
Be it experimenting with different FPGA software tool options or varying the clock logic in RTL, Plunify helps design engineers define and run multiple builds in parallel before quickly compare build results to see which ones come closest to meeting performance targets.
Plunify helps design teams manage and scale compute demands, providing FPGA synthesis and place-and-route on a pay-as-you-use basis, alleviating concerns about IT over-investment and under-investment. As a result, CAD/IT departments will have less trouble forecasting server requirements and planning budgets for upcoming quarters.