A System-level Abstraction and Service for Flourishing AI-powered Applications

Modern devices increasingly employ local AI accelerators such as GPUs, NPUs, and ASICs to meet growing demands for AI capabilities. However, the current ad-hoc and siloed approach to enabling AI poses two fundamental challenges. Developers have to handle unnecessary implementation details when integrating AI into individual applications. Moreover, the siloed approach hinders efficient resource management when running multiple AI-powered tasks simultaneously.

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Publication Details

Published
2025-10-09
DOI
https://doi.org/10.1145/3725783.3764406
Citations
1
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
1.49
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article

A System-level Abstraction and Service for Flourishing AI-powered Applications

Haibo Chen, Rong Chen, Jianguang Yang, Zimeng Wang
1 citations
IoT and Edge/Fog Computing
1.49
article

A System-level Abstraction and Service for Flourishing AI-powered Applications

Haibo Chen, Rong Chen, Jianguang Yang, Zimeng Wang
article en
1 citations

Abstract

Modern devices increasingly employ local AI accelerators such as GPUs, NPUs, and ASICs to meet growing demands for AI capabilities. However, the current ad-hoc and siloed approach to enabling AI poses two fundamental challenges. Developers have to handle unnecessary implementation details when integrating AI into individual applications. Moreover, the siloed approach hinders efficient resource management when running multiple AI-powered tasks simultaneously.

Shanghai Jiao Tong University (CN)
Openalex Percentile: Top 12%
IoT and Edge/Fog Computing
1.49
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