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3:40-4:45 PM
AUTO-102A-1: Autonomous Vehicles - The Storage Challenges of Edge Computing (Automotive Applications Track)
Paper Title: Providing Next-Generation Autonomy with PCIe Fabrics and Shared Storage

Paper Abstract: Vehicles today employ a range of sensors: sonar, radar, machine vision, microphones and eye tracking, to name a few. In current vehicles, many of these sensor or sensor clusters are compartmentalized to their specific use case. The autonomous vehicle is slightly different. It has many of the same sensors mentioned above with the addition of sensors specifically intended for self-driving vehicles (LiDAR, high definition cameras, etc.). However, the largest differentiator is the need to process all of this sensor data holistically. This talk will cover how PCIe fabrics combined with SR-IOV can provide the unifying element to these sensors.

Paper Author: Wesley Yung, Principal Applications Engineer, Microchip Technology

Author Bio: Wesley is the Hardware Principle Applications Engineer for Microsemi's Switchtec PCIe Switches. His is currently working on accelerating PCIe Gen4 adoption in the storage, datacenter, and hyper scale space with applications ranging from traditional compute/storage to ML Training and ML Inference. Wesley has been provide architectural expertise during pre-sales engagements with key customers - delivering wins in platforms for autonomous driving, node disaggregation, and machine learning. Prior to working in datacenter and storage, Wesley worked for a startup building packet classification technology for the telecom industry.