Month: December 2021

TR-003 Benchmarking Deep Neural Network (DNN) for Automated and Assisted Driving Systems

In the automotive industry, OEMs and Tier 1s commonly send out requests for information (RFIs) and requests for quotation (RFQs) to vendors to understand a solution’s compute performance and system resource requirements. This is a crucial step when assessing whether the sourced part is a suitable choice when designing the next-generation compute platform. Traditionally, some […]

Written by on December 16, 2021

AVCC Publishes Deep Neural Networks Benchmarking Report for Autonomous Vehicles

SAN JOSE, CA -December 16, 2021– The Autonomous Vehicle Computing Consortium™ (AVCC), a global collaboration of automotive and technology industry leaders focused on automated and assisted driving compute solutions, today announced the release of their latest key technical report which was developed to provide recommendations on how to benchmark deep neural networks (DNNs) for automated […]

Written by on December 16, 2021