SIMULATION FOR SCHEDULERS ASSOCIATED WITH AUTONOMOUS VEHICLE SOFTWARE BUILDS

    公开(公告)号:US20240272922A1

    公开(公告)日:2024-08-15

    申请号:US18167189

    申请日:2023-02-10

    摘要: Systems and methods for evaluating schedulers that schedule jobs(s) and/or tasks(s) related to vehicle software builds and/or vehicle simulations are provided. A computer-implemented system, including one or more processing units; and one or more non-transitory computer-readable media storing instructions, when executed by the one or more processing units, cause the one or more processing units to perform operations including receiving a configuration including a simulated request for executing a task associated with at least one of a vehicle software build or a vehicle simulation of a vehicle; executing a simulation of operations of a scheduler and task execution, wherein the executing includes determining, by the scheduler, a schedule for executing the task based on the configuration and at least one of a driving scenario or a vehicle compute framework associated with the task; and calculating a metric for the scheduler based on an output of the simulation.

    SELECTION OF RUNTIME PERFORMANCE ESTIMATOR USING MACHINE LEARNING

    公开(公告)号:US20240118985A1

    公开(公告)日:2024-04-11

    申请号:US17961390

    申请日:2022-10-06

    发明人: Burkay Donderici

    摘要: Systems and techniques are provided for selecting a runtime performance estimator. An example method includes receiving, by a machine learning model, at least one compute workload and a target hardware parameter, wherein the target hardware parameter identifies one or more hardware components configurable to execute the at least one compute workload; identifying a plurality of runtime performance estimators for obtaining a predicted performance of the at least one compute workload on the one or more hardware components; determining a plurality of accuracy parameters and a plurality of cost parameters that are associated with the predicted performance obtained from the plurality of runtime performance estimators; and selecting, based on the plurality of accuracy parameters and the plurality of cost parameters, a preferred runtime performance estimator from the plurality of runtime performance estimators for obtaining the predicted performance of the at least one compute workload using the one or more hardware components.

    DATABASE OBSERVATION SYSTEM
    5.
    发明公开

    公开(公告)号:US20230359540A1

    公开(公告)日:2023-11-09

    申请号:US18349458

    申请日:2023-07-10

    摘要: Systems, methods, and storage media provided are useful in a computing environment receiving, modifying, and transforming service level information from database servers and entities in a hosted database environment. Multiple application programming interface (API) calls are made by a database observation system to request information for multiple service level indicators from database servers belonging to multiple different entities. Database observation system receives and aggregates the information for multiple service level indicators from each of the database servers belonging to multiple different entities. The database observation system provides, within a dashboard interface, the aggregated information for each of the multiple service level indicators, individual service level indicator scores, and aggregated service level indicator scores for each of the database servers for each of the multiple entities.