Synopsys Deep Dive Session
Thursday, May 19
Optimize AI Performance and Power for Tomorrow’s Neural Network Applications
12:00 – 3:00 pm
Description: AI applications — including automotive vision and lidar, digital still cameras, surveillance, smartphones — are driving the need for more efficient neural network processing. The trick is getting GPU-level performance within an embedded power and cost budget. This session covers Synopsys’ new Neural Processing Units (NPUs) IP based on a novel architecture and trusted software tools which significantly improve hardware utilization, support the latest neural network trends and scale from battery-powered devices to L3-L5 autonomous driving. We will present inference benchmarks showing performance and power comparisons versus leading GPUs. We will also introduce the evolution of our MetaWare software toolkit to accelerate time to market, and we’ll demonstrate this new NPU solution.
What Will You Gain By Attending?
- Overview of AI trends driving embedded SoC designs
- Understanding of the latest NPU IP solution for embedded AI products, including optimization trade-offs for AI IP benchmarking
- Overview of the NPU programming tool suite
- Synopsys’ design approach for quality, including support for ISO26262 safety standards
Who Should Attend?
- Embedded engineering managers
- Software engineering managers
- Automotive chip designers
- AI, camera, Lidar, radar, neural network and surveillance developers
Hardware Requirements: None
Location: Santa Clara Convention Center – Room 203/204
Refreshments: Lunch and afternoon snack will be provided
