Lawrence Vivolo

Lawrence 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 35 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.

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Presentation

A practical guide to sizing your ADAS / AD infrastructure

Developing L2-L5 autonomous vehicles requires significant resources – time & infrastructure. With pressure to reduce ADAS/AD development cycles, and limited budgets, sizing the right amount if infrastructure – storage, networking, CPU & GPU compute becomes critical. You must also solve sensor data management challenges across the entire data lifecycle – from edge-to-core-to cloud. In this session we demonstrate how to size your infrastructure for HiL and SiL testing, while considering future expansion, using hardware integrated with industry-standard software and applications. The focus will be on real-world variables that must be considered to optimize infrastructure for cost, performance and flexibility.