Larry VivoloLawrence Vivolo is a world-wide Sr. Business Development Manager for Automotive and Semiconductor Design, Validation and Manufacturing at Dell Technologies. Lawrence received his Bachelor of Science degree in Electronic Engineering from California Polytechnic State University, San Luis Obispo, and his Master in Business Administration from Santa Clara University, Santa Clara, California. Lawrence’s interests and 30+ years of experience include CPU architecture specification, semiconductor and system-level solution validation, Advanced Driver Assistance Systems and Autonomous Vehicle (ADAS/AD) verification, and distributed R&D enterprise infrastructure architectures. Lawrence was most recently awarded a patent for automatic generation of properties to assist hardware emulation in 2017.
Sizing your autonomous vehicle development environment is not as easy as you thought
Reducing your ADAS/AD development cycle dramatically, while on a budget, requires you to optimize scale by sizing the right amount of storage, compute and GPUs. You also have to solve sensor data management challenges across the entire data lifecycle, from edge to core to cloud. See how to configure an L2-L5 autonomous vehicle simulation environment using Dell Technologies hardware integrated with industry-standard software and partner applications, to reduce development cycle time without sacrificing quality or performance at scale. In this session we will showcase an open, end-to-end reference architecture that includes an ecosystem of AI software suppliers for autonomous technology development.