Cells: A cell-inspired efficient software framework for ai-enabled application on resources-constrained mobile system

Ching Han Chen, Mu Che Wu

研究成果: 雜誌貢獻期刊論文同行評審

摘要

Today’s mobile processors generally have multiple cores and sufficient hardware resources to support AI-enabled software operation. However, very few AI applications make full use of the computing performance of mobile multiprocessors. This is because the typical software development is sequential, and the degree of parallelism of the program is very low. In the increasingly complex AI-driven and software development projects with natural human–computer interaction, this will undoubtedly cause a waste of mobile computing resources that are originally limited. This paper proposes an intelligent system software framework, CellS, to improve smart software development on multicore mobile processor systems. This software framework mimics the cell system. In this framework, each cell can autonomously aware changes in the environment (input) and reac-tion (output) and may change the behavior of other cells. Smart software can be regarded as a large number of cells interacting with each other. Software developed based on the CellS framework has a high degree of scalability and flexibility and can more fully use multicore computing resources to achieve higher computing efficiency.

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文章編號568
頁(從 - 到)1-29
頁數29
期刊Electronics (Switzerland)
10
發行號5
DOIs
出版狀態已出版 - 1 3月 2021

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