Accelerate Time to Market and Lower Design Risk Through AI-Driven MDAO
The Cadence Optimality Intelligent System Explorer is multiphysics optimization software, enabling multidisciplinary analysis and optimization (MDAO) realization of electronic systems. With the increasing complexity of electronic system design and greater performance requirements, Optimality Explorer breaks through the limitations of the conventional human-intensive process by delivering a simulation and analysis workflow that results in the optimal design fast and efficiently. By replacing a traditional interactive flow of design, test, and refine loop, Optimality Explorer, with its artificial intelligence (AI)-driven MDAO technology, results in the optimal system design solution expeditiously and without compromising accuracy.
Pioneered by the AI capabilities first introduced to the market in Cadence Cerebrus, Optimality Explorer is an industry-first, AI-enabled MDAO in-design multiphysics system analysis solution covering the IC, package, and PCB as well as throughout the complete electronic system. It enables design engineers to explore 3D electromagnetic (EM) and high-speed signal and power integrity results and zero in on the optimal design.
Driving ~10X Productivity Gains by Exploring the Full Design Space for the Optimal Electrical Design
Parametric sweeps consume large amounts of analysis time and computational resources. Design engineers need an intelligent, accurate, and easy-to-use simulation and analysis solution that reduces repetitive design cycles while increasing user productivity and efficiency. Leveraged by advanced AI-enabled methodology, Optimality Explorer delivers quality results leading to optimal performance of electrical systems. These benefits include:
Enables design engineers to determine optimal electrical performance, keeping away from suboptimal local minima and maxima, while mapping massive variations for increased considerations and exploration of the complete design space
Empowers design engineers and teams to efficiently achieve optimized system-level designs and boosts productivity by on average 10 faster when compared to manual, exhaustive, brute-force parametric table studies
Lets designers quickly learn, use, and adopt Optimality Explorer from the Clarity and Sigrity X environments for fast invocation of MDAO
Allows users to extend this machine-learning optimization solution across Cadence’s multiphysics technologies with an integrated and comprehensive simulation solution
See what customers have to say about Optimality Explorer
For our DDR package optimization process, Cadence’s Optimality Explorer-empowered Clarity 3D Solver enabled us to uncover the best parameter configuration, meeting our design criteria in a dramatically shorter time window, thereby speeding up our time to market while enabling us to deliver a higher performing solution.
Alan Zhu, VP of Hardware at Ambarella
The Cadence Optimality Explorer and Clarity 3D Solver allowed us to realize a 75% performance improvement for our recent 112G PAM4 SerDes project. The optimal return and insertion loss, and TDR waveforms, were determined quickly and efficiently due to Cadence’s breakthrough AI-driven optimization.
Aaron Yang and Howard Yin, Design Directors at MediaTek
With Cadence’s Optimality Explorer, we reduced the amount of time we spent on optimizing transmission line performance from hours to minutes. We were able to tune the physical parameters of a high-speed differential pair routing constraint much faster than previous methodologies.
Canghai Gu, Chief Chip Architect of Kunlunxin at Baidu
As an early adopter of the Cadence Optimality Intelligent System Explorer we stressed its performance on a rigid-flex PCB with multiple via structures and transmission lines. The Optimality Explorer’s AI-driven optimization allowed us to uncover novel designs and methodologies that we would not have achieved otherwise.
Kyle Chen, Principal Hardware Engineer at Microsoft
What is MDAO?
Multidisciplinary analysis and optimization (MDAO) is a methodology for driving system-level design process and the optimal performance by extensively and comprehensively considering physical structures and electrical behaviors of designs, resulting in systems with superior performance while minimizing the required computational time. See what our subject expert says See what our subject expert says