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Server data processing performance test method and device

A data processing and server technology, applied in the field of testing, can solve problems such as heavy workload, low efficiency, and error-proneness, and achieve the effect of liberating labor and improving work efficiency

Inactive Publication Date: 2019-08-06
SUZHOU LANGCHAO INTELLIGENT TECH CO LTD
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AI Technical Summary

Problems solved by technology

In the process of configuring dozens or even hundreds of servers, there are shortcomings such as repeated installation of the basic environment and framework of deep learning, error-prone, time-consuming and labor-intensive, which consume human resources
Benchmark performance tests of deep learning frameworks such as TensorFlow on the AI ​​computing platform, and the analysis and sorting of test results also need to be done manually, which not only requires a lot of work, but also has time-consuming and labor-intensive problems.
[0004] Aiming at the problem of relying on manual labor and low efficiency in data processing performance testing in the prior art, there is currently no effective solution

Method used

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Embodiment Construction

[0031] In order to make the object, technical solution and advantages of the present invention clearer, the embodiments of the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0032] It should be noted that all the expressions using "first" and "second" in the embodiments of the present invention are to distinguish two entities with the same name but different parameters or parameters that are not the same. It can be seen that "first" and "second " is only for the convenience of expression, and should not be understood as a limitation to the embodiments of the present invention, and will not be described one by one in the subsequent embodiments.

[0033] Based on the above purpose, the first aspect of the embodiments of the present invention proposes an embodiment of a method capable of using a deep learning framework to perform automated data processing performance testing fo...

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Abstract

The invention discloses a server data processing performance testing method and device based on a deep learning model. The method comprises: building a software environment according to hardware configuration of a server; installing a deep learning framework based on the software environment; setting test parameters used for testing the data processing performance; testing the data processing performance of the server based on the test parameters by using the deep learning framework; generating and returning test results. According to the technical scheme, the deep learning framework can be used for carrying out automatic data processing performance testing on different servers or servers of different types, the working efficiency is improved, and labor is liberated.

Description

technical field [0001] The present invention relates to the field of testing, and more specifically, to a method and device for testing server data processing performance based on a deep learning model. Background technique [0002] The automated test of the AI ​​server can detect whether the hardware configuration of the server itself is normal and whether the data processing performance is up to standard. At present, AI has gradually penetrated into all walks of life. The realization and implementation of AI algorithms depends on big data, large models and powerful computing power, and powerful computing power support is crucial. The benchmark performance test for AI computing platform deep learning model training and reasoning is the main reference index for measuring the computing power of AI servers. [0003] Since the focus of traditional server testing methods is different from that of current AI server performance testing, the performance testing of AI computing pla...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F11/22
CPCG06F11/2273
Inventor 林建伟
Owner SUZHOU LANGCHAO INTELLIGENT TECH CO LTD
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