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Shuochao Yao

As seen in: Communications of the ACM
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Articles

Taming Algorithmic Priority Inversion in Mission-Critical Perception Pipelines

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By Shengzhong Frank Liu, Shuochao Yao, Xinzhe Fu, Rohan Tabish
| Communications of the ACM Verified
1. Driverless guru. https://www.driverlessguru.com/self-driving-cars-facts-and-figures. 2020. 2. Abdelzaher, T., Ayanian, N., Basar, T., Diggavi, S., Diesner, J., Ganesan, D., et al. Toward an internet of battlefield things: A resilience perspective. Comput. 51, 11 (2018), 24–36. 3. Alcon, M., Tabani, H., Kosmidis, L., Mezzetti, E., Abella, J., Cazorla, F.J. Timing of autonomous driving software: Problem analysis and prospects for future solutions.
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Taming Algorithmic Priority Inversion in Mission-Critical Perception Pipelines

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By Shengzhong Frank Liu, Xinzhe Fu, Shuochao Yao, Rohan Tabish
| Communications of the ACM Verified
View as: Print Mobile App ACM Digital Library In the Digital Edition Share: The paper discusses algorithmic priority inversion in mission-critical machine inference pipelines used in modern neural-network-based perception subsystems and describes a solution to mitigate its effect.
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