Software and hardware combined GPU (Graphics Processing Unit) automatic testing method and system

Through GPU automation testing methods and systems combining software and hardware, the problem of insufficient flexibility and versatility in the existing technology is solved, and multi-platform automated testing of domestic graphics processors is realized, detection efficiency is improved and abnormal problems are located, and data support is provided for GPU applications.

CN119718801APending Publication Date: 2025-03-28WUHAN LINGJIU MICROELECTRONICS CO LTD
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Patent Information

Application Number
CN202411789369.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-06
Publication Date
2025-03-28

AI Technical Summary

Technical Problem

The existing domestic graphics processor automation detection technology is insufficient in flexibility and versatility, cumbersome operation and low efficiency, unable to meet the needs of multi-style automation testing, and lack of hardware data feedback, resulting in difficulty in positioning the problem.

Method used

GPU automation testing methods and systems are adopted that combines software and hardware, including hardware platforms and software platforms. The hardware platform provides GPU power supply and real-time data acquisition. The software platform sets the voltage source output and up-down time, obtains current, voltage, and temperature data, and establishes a fault case database to analyze parameters and factors affecting GPU functions and performance.

Benefits of technology

It realizes automated testing of multi-platform clients, improves GPU detection efficiency, can locate abnormal problems that occur during the test, provides data support and theoretical basis for subsequent applications of GPUs, and ensures the normal application of GPUs.

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Abstract

The invention is suitable for the technical field of GPU testing, and provides a software and hardware combined GPU automatic testing method and system, which comprises a hardware platform and a software platform, and is characterized in that the software platform is used for setting a voltage source output voltage value, power-on time and power-off time of the hardware platform, obtaining current, voltage and temperature data fed back by the hardware platform, and sending the current, voltage and temperature data to the hardware platform; associating the data with the automatic test GPU performance, and establishing a GPU test fault case database; and the hardware platform is used for providing power for the GPU, controlling power-on and power-off of the GPU and a power supply voltage value of the GPU according to the setting of the software platform, reading real-time current, voltage and temperature data near a GPU pin and feeding back the real-time current, voltage and temperature data to the software platform. According to the method, automatic testing of the GPU is achieved in a software and hardware combination mode, data graphical analysis can be achieved, abnormal problems occurring in the testing process can be positioned by comparing analysis results, and the GPU detection efficiency is improved.
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