Glenfly Tech Co., Ltd. (20240211307). GRAPHICS PROCESSING UNIT PERFORMANCE ANALYSIS METHOD, COMPUTER DEVICE AND STORAGE MEDIUM simplified abstract
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GRAPHICS PROCESSING UNIT PERFORMANCE ANALYSIS METHOD, COMPUTER DEVICE AND STORAGE MEDIUM
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GRAPHICS PROCESSING UNIT PERFORMANCE ANALYSIS METHOD, COMPUTER DEVICE AND STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240211307 titled 'GRAPHICS PROCESSING UNIT PERFORMANCE ANALYSIS METHOD, COMPUTER DEVICE AND STORAGE MEDIUM
The abstract of the patent application describes a method for analyzing the performance of a graphics processing unit (GPU) and a computer device, as well as a storage medium. The method involves submitting a GPU task queue generated by a central processing unit (CPU) to the GPU, with the task queue containing multiple GPU tasks sorted by processing start times. Each GPU task includes access addresses for storage spaces that need to be accessed during processing. The GPU processes the tasks in a specific sequence based on their processing times, and performance reference information for memory access procedures is acquired for each task based on access time information generated by the CPU and GPU.
- Submitting a GPU task queue from a CPU to a GPU for processing.
- Sorting GPU tasks by processing start times.
- Processing GPU tasks in a specific sequence based on processing times.
- Acquiring performance reference information for memory access procedures.
- Utilizing access time information generated by the CPU and GPU for memory access procedures.
Potential Applications: - Performance optimization in GPU processing tasks. - Enhancing memory access efficiency in computer devices.
Problems Solved: - Improving GPU performance analysis. - Streamlining memory access procedures in GPU tasks.
Benefits: - Increased efficiency in GPU processing. - Enhanced overall performance of computer devices.
Commercial Applications: Title: "Enhanced GPU Performance Analysis Method for Computer Devices" This technology can be applied in industries such as gaming, graphic design, and data processing to improve the performance of GPU tasks and optimize memory access procedures.
Questions about GPU Performance Analysis: 1. How does this method improve the efficiency of GPU processing tasks? 2. What are the potential implications of this technology in the gaming industry?
Original Abstract Submitted
the present application relates to a graphics processing unit (gpu) performance analysis method and a computer device, and a storage medium. the method includes: submitting a gpu task queue generated by a central processing unit (cpu) to a gpu; the gpu task queue including a plurality of gpu tasks sorted by processing start moments, each of the gpu tasks being configured with respective access addresses of a plurality of storage spaces required to be accessed when the gpu task is processed; processing the plurality of gpu tasks through the gpu according to a processing time sequence of each gpu task in the task queue; and acquiring, for a memory access procedure required in a gpu task processing procedure, execution performance reference information of the gpu and/or the cpu for each gpu task according to access time information generated by the cpu and the gpu for the memory access procedure.
