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A multi-dimensional and cross-temporal basic software performance bottleneck detection method

A basic software, multi-dimensional technology, applied in the computer field, can solve problems such as low efficiency, inability to make full use of performance index data, omission of performance bottlenecks, etc., to achieve good guiding value and improve analysis efficiency.

Active Publication Date: 2022-05-17
航天中认软件测评科技(北京)有限责任公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Performance bottleneck analysis and generation of optimization schemes are generally carried out manually. This method is inefficient and cannot systematically and fully utilize various performance index data. Potential performance bottlenecks may be missed, and the best optimization adaptation scheme cannot be found.

Method used

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  • A multi-dimensional and cross-temporal basic software performance bottleneck detection method
  • A multi-dimensional and cross-temporal basic software performance bottleneck detection method
  • A multi-dimensional and cross-temporal basic software performance bottleneck detection method

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Embodiment Construction

[0048] In order to more clearly understand the above objects, features and advantages of the present disclosure, the solutions of the present disclosure will be further described below. It should be noted that, in the case of no conflict, the embodiments of the present disclosure and the features in the embodiments can be combined with each other.

[0049] In the following description, many specific details are set forth in order to fully understand the present disclosure, but the present disclosure can also be implemented in other ways than described here; obviously, the embodiments in the description are only some of the embodiments of the present disclosure, and Not all examples.

[0050] Embodiments of the present disclosure provide a multi-dimensional, cross-temporal and spatial-based software performance bottleneck detection method. For ease of understanding, the embodiments of the present disclosure are described in detail below.

[0051] Firstly, the embodiment of the...

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Abstract

The disclosure relates to a multi-dimensional cross-time-space basic software performance bottleneck detection method, which is applied to performance bottleneck diagnosis and analysis tools, including: constructing the first performance index mode under no-load operating system and the second performance under different load operating systems Index pattern; Determine the similarity between the first performance index pattern and the second performance index pattern based on the commonality matching algorithm; According to the similarity comparison result, extract the similarity from the first performance index pattern and the second performance index pattern Set the performance index pattern of the similarity threshold, and use the extracted performance index pattern as the bottleneck correlation pattern; perform performance bottleneck analysis on the bottleneck correlation pattern. The present disclosure can improve bottleneck analysis efficiency.

Description

technical field [0001] The present disclosure relates to the field of computer technology, and in particular to a multi-dimensional cross-temporal basic software performance bottleneck detection method. Background technique [0002] As we all know, the integrated adaptation and optimization capabilities of basic software and hardware have a great impact on the performance of computer systems. At present, the optimization for the integration and adaptation of basic software and hardware is very lacking. The ecological components of domestic software, software and hardware are complex, and a considerable number of ecological elements have not been targeted for optimization. Optimizing for processor types requires not only changing compiler options, but also accurately locating performance bottlenecks, discovering optimization potential, and formulating optimization solutions. This task requires in-depth knowledge of the performance characteristics of processor architectures an...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F11/36
CPCG06F11/3604
Inventor 李尚杰赵国亮周启平刘雯王雪李岚
Owner 航天中认软件测评科技(北京)有限责任公司
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