Webinar
Accelerating Allegro PCB and APD Package Layout Using NVIDIA GPUs for Complex Designs
Boards and Packages are getting extremely complex and large; what used to be considered large with millions of objects are now getting into the 100’s of millions of objects. Traditional rendering on CPU of such large and complex designs is not scalable for today’s demand. In fact, two years ago, we observed a performance degradation in the rendering functionality for certain big designs. With the increasing complexity of designs, the render time increases, and geometry calculations require about 80% of rendering time.
With 100s of millions of objects to be rendered and manipulated, it is important to consider the following:
- Efficient rendering of different database element types
- Scene graph and memory cache
- Incremental database updates
- Technology that scales with the hardware in-use
- NVIDIA Path Rendering OpenGL extensions
What you will learn:
- How this unique GPU acceleration capability within Allegro can improve your productivity when interacting with large and complex designs
- Benefits of utilizing GPU with Allegro PCB and APD Packing Design.
- Allegro performance in virtualized environments for large board layouts.
About your Presenters
Patrick Bernard
Software Engineering Group Director
Patrick Bernard is a Software Engineering Group Director at Cadence Design Systems working on the Allegro PCB platform. Over his 20 years at Cadence, he has worked on the Allegro infrastructure from database, High Speed tools and User Interface modernization. Patrick is also the co-inventor of the Symphony technology in Allegro allowing multiple users to simultaneously work on the same design. Lately he focused on using the power of the GPU to accelerate the tool and gain better performance for a better user experience.
Jerry Chen
Head of Global Business Development for Manufacturing & Industrials
Jerry Chen leads business development at NVIDIA for Manufacturing & Industrials worldwide. Over 20 years at NVIDIA Jerry has led initiatives in scientific HPC, AI and deep learning, professional & notebook graphics, and founded NVIDIA's Inception Program for startups. Prior to NVIDIA Jerry was a developer for Abaqus, a structural mechanics solution (now Dassault Systèmes SIMULIA). Jerry has spoken at international events on a variety of topics including AI and Smart Manufacturing with Industry 4.0. He holds a Bachelors and a Masters of Engineering from Cornell University and an MBA from the University of California at Berkeley.
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