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System Development & Application
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 9
2766-2772

Design of efficient hybrid predicting strategies

Fang Xinyu1
Zhou Rigui1
Gong Mingqing2
1. College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China
2. Hangzhou Todays Headlines Technology Co. , Ltd. , Hangzhou 311100, China
DOI: 10.19734/j.issn.1001-3695.2023.12.0641

Abstract

The existing branch prediction models cant predict the behaviors of various instructions in the processor accurately, which leads to the limitation of processing efficiency. Therefore, this paper proposed two hybrid prediction solutions, which aimed to combine multiple branch prediction models to improve prediction accuracy and processor execution efficiency. This paper transferred the prediction results of TAGE branch prediction model and BATAGE branch prediction model to the Hybrid model. In the prediction phase, the Hybrid model selected the prediction results of the best-performing branch prediction model based on the historical performance of TAGE and BATAGE. In the update phase, the Hybrid model updated the saturation counter of the entries that needed to be updated according to the designed hybrid prediction strategy. Experiments on 440 test programs provided by the CBP software simulation platform show that the prediction error rates of both hybrid prediction solutions are lower than those of many of the latest mainstream branch prediction models. This study provides an effective solution to the problem of predicting all command mode behaviors. In the branch instruction prediction of real CPU, this research provides some practical value.

Foundation Support

国家重点研发计划资助项目(2021YFF0601200,2021YFF0601204)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.12.0641
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 9
Section: System Development & Application
Pages: 2766-2772
Serial Number: 1001-3695(2024)09-028-2766-07

Publish History

[2024-05-13] Accepted Paper
[2024-09-05] Printed Article

Cite This Article

方昕宇, 周日贵, 龚鸣清. 高效混合预测策略的设计 [J]. 计算机应用研究, 2024, 41 (9): 2766-2772. (Fang Xinyu, Zhou Rigui, Gong Mingqing. Design of efficient hybrid predicting strategies [J]. Application Research of Computers, 2024, 41 (9): 2766-2772. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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