NVIDIA collects performance metrics to compare their products to competitive counterparts and develop solutions to any bottlenecks. Power sensing data is crucial to create low overhead programs and minimize resource wastage. One project task was to make power data collection easier by converting NVIDIA’s power sensing program into a daemon with a well-defined API using named pipes and multi-threaded programming. Another project task was to update NVIDIA’s performance scanning infrastructure to support profiling tools. This involved updating its command line to execute a chosen profile, uploading collected data to a database, and developing a method for visualizing that data. We held daily scrums and tested iteratively to implement a power sensing daemon and add profiling support.

• 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

• Grabowski, Adam
• Eroglu, Eren

Subject

• Industry
• Learning
• Innovation
• Computing
• Infrastructure
• Project-Based Learning
• Culture

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-122122-101742
• 84376

Advisor

• Claypool, Mark L.

Year

• 2022

Sponsor

• NVIDIA

UN Sustainable Development Goals

• Not Specified

Date created

• 2022-12-21

Resource type

• Major Qualifying Project

Major

• Computer Science

Source

• E-project-122122-101742

Rights statement

• In Copyright

Última modificação

• 2023-01-12