Student Work
Analysis of Deadline Estimations for Time-Triggered Scheduling in Autonomous Vehicles
PubblicoContenuto scaricabile
open in viewerNVIDIA is a technology company in the computer chip design and manufacturing industry known for its Tegra system-on-a-chip (SoC) units. NVIDIA’s Performance Architecture Team (PAT) needs to ensure that autonomous vehicle safety functions execute before their deadlines. Accordingly, we developed nvPlayfair, an automated platform for engineers to measure system software performance on the Tegra SoC. This platform consists of a control application, a benchmarking framework, and a dashboard view for data visualizations. Upon completion, we deployed nvPlayfair, which will help the PAT better understand the performance of workloads.
- This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
- Creator
- Publisher
- Identifier
- 19976
- E-project-042821-163500
- Advisor
- Year
- 2021
- Sponsor
- Date created
- 2021-04-28
- Resource type
- Major
- Rights statement
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NVIDIA_Scheduling_MQP.pdf | Pubblico | Scaricare |
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