
CUDA Programming for Heterogeneous Computing on NVIDIA Drive Orin for ADAS
1. Why CUDA Matters in Automotive Computing Modern autonomous driving and ADAS platforms demand massive

Vishal Barde is an Associate Director and Solution Architect at eInfochips, an Arrow Company, with over 20 years of experience in the automotive industry, specializing in chassis controls, integrated traction control systems, and ADAS. He holds a master’s degree from IIT Bombay and a PG diploma in Artificial Intelligence and Machine Learning from Austin, Texas. Vishal has led cross-functional teams in requirement engineering, system architecture, embedded software development, model-based development, and functional validation across various automotive domains.

1. Why CUDA Matters in Automotive Computing Modern autonomous driving and ADAS platforms demand massive
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