Mapping Method of MATLAB/Simulink Model for Embedded Many-Core Platform

Kentaro Honda, Sasuga Kojima, Hiroshi Fujimoto, Masato Edahiro, Takuya Azumi

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

Multi-/many-core processors are being increasingly used to reduce power consumption and improve performance. In addition, the use of Model-Based Development for embedded systems has been increasing. Relative to these trends, Model-Based Parallelizer (MBP) has an essential role in parallelizing applications (i.e., Simulink blocks) at the model level. MBP maps Simulink blocks to cores using various types of information such as block characteristics, a C code, and the multi-/many-core hardware implementation. However, MBP does not consider many-core hardware with cluster structures. This paper proposes an algorithm that decides on core allocations by considering cluster structures. The proposed algorithm combines two other algorithms: one algorithm uses the core allocation of MBP and path analysis at the cluster-level and considers the influence of communication contention to decide on cluster allocations, and the other algorithm uses the results of MBP and remaps cluster allocations. The proposed algorithm produces better results than its component algorithms could separately. Evaluations demonstrate that the proposed algorithm obtained the better results than the existing method in terms of execution time on random and real models.

本文言語English
ホスト出版物のタイトルProceedings - 2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2020
出版社Institute of Electrical and Electronics Engineers Inc.
ページ182-186
ページ数5
ISBN(電子版)9781728165820
DOI
出版ステータスPublished - 2020 3月
イベント28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2020 - Vasteras, Sweden
継続期間: 2020 3月 112020 3月 13

出版物シリーズ

名前Proceedings - 2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2020

Conference

Conference28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2020
国/地域Sweden
CityVasteras
Period20/3/1120/3/13

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ネットワークおよび通信
  • 情報システムおよび情報管理
  • 計算数学
  • 制御と最適化
  • 健康情報学

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