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IEEE Digital Reality: Autonomous Things and GPUs

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IEEE Future Directions

Software-defined, AI-enabled Autonomous Vehicles (AV) require Graphics Processing Units (GPUs) for developing and running AI and XR end-to-end. GPUs enable the technology to apply deep learning algorithms to complex sensor data in order to produce autonomous actions. In addition, GPUs are used for the creation of next-generation augmented reality (AR) interfaces, with information pertaining to points of interest, alerts, navigation, and co-pilot support for drivers.

This webinar will provide an overview of the fundamental characteristics of GPUs required to support new functionalities, including architecture, design, and verification points of view. It will also describe how dependability and functional safety need to be considered in order to provide the required level of trust for GPU computing.

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IEEE Digital Reality: Autonomous Things and GPUs

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Software-defined, AI-enabled Autonomous Vehicles (AV) require Graphics Processing Units (GPUs) for developing and running AI and XR end-to-end. GPUs enable the technology to apply deep learning algorithms to complex sensor data in order to produce autonomous actions. In addition, GPUs are used for the creation of next-generation augmented reality (AR) interfaces, with information pertaining to points of interest, alerts, navigation, and co-pilot support for drivers.

This webinar will provide an overview of the fundamental characteristics of GPUs required to support new functionalities, including architecture, design, and verification points of view. It will also describe how dependability and functional safety need to be considered in order to provide the required level of trust for GPU computing.