Abstract: A method and system for distributing a compute model and data to process to heterogeneous and distributed compute devices. The compute model and a portion of the data is processed on a benchmark system and the timing used to make a job execution speed estimate for each compute device. Compute devices are selected and assigned data chunks based on the estimate so distributed processing is completed within a predefined time period. The compute model and data chunks can be sent to the respective compute devices using separate processes, such as a payload manager configured to transfer compute jobs to remote devices and a messaging engine configured to transfer data messages, and where the payload manager and messaging engine communicate with corresponding software engines on the compute devices.

Abstract: A method and system for distributing a compute model and data to process to heterogeneous and distributed compute devices. The compute model and a portion of the data is processed on a benchmark system and the timing used to make a job execution speed estimate for each compute device. Compute devices are selected and assigned data chunks based on the estimate so distributed processing is completed within a predefined time period. The compute model and data chunks can be sent to the respective compute devices using separate processes, such as a payload manager configured to transfer compute jobs to remote devices and a messaging engine configured to transfer data messages, and where the payload manager and messaging engine communicate with corresponding software engines on the compute devices.

Abstract: A computer-implemented method for a query response system that provides targeted query response results related to a vehicle. The computer-implemented method receives a query from a user related to the vehicle. The computer-implemented method further determines a current status of one or more vehicle systems and one or more subsystems via a plurality of sensors associated with the vehicle. The computer-implemented method further links the received query together with the determined current status of the one or more vehicle systems and the one or more subsystems, and provides targeted query response results based on the linking. The computer-implemented method further includes training a machine learning system on digital twin content for the vehicle, wherein the trained machine learning system for the digital twin content is shared with the query response system.