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Performance-energy consumption collaborative optimization method and device for power constraint system

A power constraint and collaborative optimization technology, applied in the field of high-performance computing, can solve problems such as high energy consumption, and achieve the effect of improving energy utilization, improving efficiency, and reducing high maintenance costs

Pending Publication Date: 2020-12-15
HARBIN INST OF TECH
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is: In view of the above problems, the present invention proposes a method and device for collaborative optimization of performance-energy consumption of OpenMP parallel programs in a power-constrained system to solve the problems in the overall operation of the system in high-performance computing. The problem of excessive energy consumption

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  • Performance-energy consumption collaborative optimization method and device for power constraint system
  • Performance-energy consumption collaborative optimization method and device for power constraint system
  • Performance-energy consumption collaborative optimization method and device for power constraint system

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[0038]Exemplary embodiments of the present invention will be described below with reference to the accompanying drawings. In the interest of clarity and conciseness, not all features of an actual implementation are described in this specification. It should be understood, however, that in developing any such practical embodiment, many implementation-specific decisions must be made in order to achieve the developer's specific goals, such as meeting those constraints related to the system and business, and those Restrictions may vary from implementation to implementation. Furthermore, it should be understood that development work, while potentially complex and time-consuming, would nevertheless be a routine undertaking for those skilled in the art having the benefit of the teachings herein. Here, it should also be noted that, in order to avoid obscuring the present invention due to unnecessary details, only the device structure and / or processing steps closely related to the sol...

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Abstract

The invention discloses a performance-energy consumption collaborative optimization method and device for a power constraint system, belongs to the technical field of high-performance computing, and aims to solve the problem of overlarge energy consumption in the overall operation process of the system in high-performance computing. Energy consumption and performance of program operation are optimized mainly through machine learning model prediction and power upper limit setting at an OpenMP parallel domain level, the invention comprises three parts of data collection, model training and codeoptimization, and the data collection comprises the step of extracting feature data needed by model training from an OpenMP parallel program; the model training comprises modeling training on performance and energy consumption according to power configuration and extracted characteristic data; and the code optimization comprises the steps of obtaining optimal power configuration according to the model obtained by training, and performing code optimization according to the optimal power configuration. The invention helps a universal parallel application program reasonably utilize resources, improves efficiency, and is helpful for improving the utilization rate of energy in power constraint scenes such as cloud computing and the Internet of Things.

Description

technical field [0001] The invention relates to the technical field of high-performance computing, in particular to a performance-energy consumption collaborative optimization method and device for power-constrained systems. [0002] technical background [0003] Research on high-performance computing has made continuous progress, but there are still many problems that restrict the next development of high-performance computing. Among them, the problem of energy consumption has become more and more prominent with the improvement of computing power. Huge energy consumption not only means that high Amount of maintenance costs, and will affect the architecture design of supercomputers, these factors make energy consumption a major obstacle to limit the development of high-performance computing. In the future, high-performance computing will take more into account the scenarios of power consumption constraints, that is, the system can only operate under the artificially limited p...

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Application Information

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IPC IPC(8): G06F8/41G06F8/71G06F1/3234
CPCG06F8/443G06F8/42G06F8/71G06F1/3234Y02D10/00
Inventor 张伟哲郝萌方滨兴楼晨何慧
Owner HARBIN INST OF TECH
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