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A performance characterization method for cpu and gpu heterogeneous soc based on machine learning

A machine learning and performance technology, applied in the information field, can solve the problem of unknown energy consumption

Active Publication Date: 2021-04-09
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

This makes it difficult to deeply analyze the performance characteristics and principles of heterogeneous SoCs
In addition, the method has no knowledge of energy consumption

Method used

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  • A performance characterization method for cpu and gpu heterogeneous soc based on machine learning
  • A performance characterization method for cpu and gpu heterogeneous soc based on machine learning
  • A performance characterization method for cpu and gpu heterogeneous soc based on machine learning

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Embodiment Construction

[0032] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments It is some embodiments of the present invention, but not all of them. Based on the implementation manners in the present invention, all other implementation manners obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention. Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the implementation manners in the present invention, all other implement...

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Abstract

The present invention relates to the field of information technology, in particular, to a machine learning-based CPU and GPU heterogeneous SoC performance characterization method, which includes the following steps: S1: collecting large performance data; the large performance data includes CPU hardware event data and GPU hardware event data; S2: process the collected large performance data; S3: characterize the performance of CPU and GPU; S4: collect and analyze system energy consumption. In the present invention, on the one hand, the user can obtain the performance characteristics of the artificial intelligence program that can reflect the performance characteristics of the artificial intelligence program according to the hardware events monitored at the CPU and GPU ends, thereby providing guidance for optimizing the artificial intelligence program; The program provides guidance on specifically optimizing the compiler or computer microarchitecture. Finally, users can monitor and analyze CPU and GPU through the monitoring strategies and analysis methods used in this framework.

Description

technical field [0001] The present invention relates to the field of information technology, in particular to a machine learning-based method for characterizing the performance of CPU and GPU heterogeneous SoCs. Background technique [0002] The current mainstream processor is a heterogeneous system-on-chip (SoC) including CPU core and GPU core, and the research and application of artificial intelligence are developing rapidly. Aiming at understanding the performance characteristics of this heterogeneous SoC running artificial intelligence programs, a performance characteristic characterization model of CPU core and GPU core heterogeneous system is proposed. [0003] Processor performance characterization can assist in improving server architecture design in data centers. In addition, analyzing the performance characteristics of the processor helps to optimize the compiler to accelerate program execution. The performance characteristics of the processor also provide import...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F9/38
CPCG06F9/38
Inventor 喻之斌林灵锋伍浩文
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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