Apollo Autonomous Driving USA LLC (20240211363). GPU STRESS TEST WITH DYNAMIC LOADS simplified abstract

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GPU STRESS TEST WITH DYNAMIC LOADS

Organization Name

Apollo Autonomous Driving USA LLC

Inventor(s)

Congshi Huang of Sunnyvale CA (US)

GPU STRESS TEST WITH DYNAMIC LOADS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240211363 titled 'GPU STRESS TEST WITH DYNAMIC LOADS

Simplified Explanation:

The abstract describes a data processing system for an autonomous driving vehicle that includes a central processing unit (CPU) and a graphics processing unit (GPU). The CPU monitors the behavior of the GPU, operates the GPU to perform randomly controlled operations using a random number generator, and repeats these operations with idle periods in between.

  • The system includes a CPU and a GPU for processing data in an autonomous driving vehicle.
  • The CPU monitors the behavior of the GPU and controls its operations.
  • The GPU performs randomly controlled operations using a random number generator.
  • Idle periods are inserted between repetitions of the randomly controlled operations.

Key Features and Innovation: - Utilization of a CPU and GPU in an autonomous driving vehicle data processing system. - Monitoring and control of GPU behavior by the CPU. - Randomly controlled operations using a random number generator. - Insertion of idle periods between repetitions of operations.

Potential Applications: The technology can be applied in autonomous driving vehicles to enhance data processing capabilities and improve overall performance.

Problems Solved: - Efficient data processing in autonomous driving vehicles. - Enhanced control and monitoring of GPU operations. - Optimization of performance through randomly controlled operations.

Benefits: - Improved efficiency and performance in autonomous driving systems. - Enhanced data processing capabilities. - Better control and monitoring of GPU operations.

Commercial Applications: Potential commercial uses include autonomous vehicles, robotics, and other AI-driven systems where efficient data processing is crucial for performance.

Prior Art: Prior art related to this technology may include research on data processing systems in autonomous vehicles, GPU monitoring, and control mechanisms in similar applications.

Frequently Updated Research: Stay updated on advancements in GPU technology, data processing systems for autonomous vehicles, and AI-driven applications for potential improvements in performance and efficiency.

Questions about Autonomous Driving Vehicle Data Processing System: 1. How does the CPU monitor the behavior of the GPU in the data processing system? 2. What are the potential implications of using a random number generator for controlled operations in autonomous driving vehicles?


Original Abstract Submitted

a data processing system of an autonomous driving vehicle (adv) may include a central processing unit (cpu) and a graphics processing unit (gpu). the cpu may be configured to monitor a behavior of a graphics processing unit (gpu), operate the gpu to perform a randomly controlled operation using a random number generator, operate the gpu to perform an idle period, and operate the gpu to repeat the randomly controlled operation. the idle period may be performed between each repetition of the randomly controlled operation, and each repetition may utilize the random number generator.

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