GOAL stands out by providing the best-optimized macro placement solutions through an advanced approach of searching for globally optimized solutions within a solution map. This enables efficient exploration and identification of macro placements that deliver superior performance, reduced wirelength, and minimized congestion in the SoC design. With GOAL, designers can benefit from highly effective and globally optimized macro placements, leading to enhanced overall design quality and efficiency.
Learning is not required
GOAL offers a unique approach by directly solving the macro placement problem as a combinatorial optimization problem. Unlike methods that rely on machine learning techniques, GOAL focuses on leveraging optimization algorithms to find the best macro placements without the need for learning or training processes. This allows for efficient and effective solutions to be obtained directly, making GOAL a valuable tool for achieving optimal macro placement in SoC design without the requirement of machine learning methods.
Minimizing both wirelength and congestion
GOAL optimizes the placement of macros to achieve shorter routing wirelength, thereby reducing signal delays and improving overall performance. Additionally, GOAL intelligently considers the routing congestion, strategically placing macros to alleviate congestion hotspots and ensure smooth signal flow throughout the chip. This dual focus on minimizing wirelength and congestion makes GOAL an exceptional tool for achieving highly efficient and optimized macro placements in SoC design.
Simultaneous achievements of exceptional and diverse results
GOAL excels in delivering exceptional and diverse results simultaneously. By leveraging advanced optimization algorithms, GOAL explores a wide range of possibilities during macro placement to achieve diverse and highly optimized outcomes. This approach ensures that designers have access to a rich set of solutions that cater to different design objectives and trade-offs. Whether it's reducing wirelength, minimizing congestion, optimizing performance, or balancing various factors, GOAL's ability to generate diverse and high-quality results empowers designers to make informed decisions and select the most suitable solution for their specific requirements.
GOAL effectively contributes to reducing time-to-market in SoC design. By automating and optimizing the macro placement process, GOAL streamlines the design flow, enabling faster iterations and shorter development cycles. Its efficient algorithms and comprehensive solution exploration help accelerate the overall design process, allowing designers to quickly arrive at optimal macro placements. By reducing the time spent on manual placement iterations, GOAL can significantly contribute to reducing time-to-market, enabling companies to bring their products to market in time and gain a competitive edge.
GOAL facilitates the use of various input files and provides customizable results tailored to the engineer's needs. This compatibility makes GOAL highly adaptable to a wide range of auto Place-and-Route (P&R) tools.