NVIDIA is developing a new CPU and needs to test and compare the performance of competitors’ chips against their simulated CPU. However, testing is cumbersome and time-consuming with current test suites, especially on simulated hardware. Our project is to create a new tool that consolidates other test suites for easier testing for their simulated CPU. We developed a series of Python scripts, defined a database solution for data storage, and created notebooks on Tableau for data visualization. The tester uses a Python script (shell) to run all tests in one place and upload the results to a database, and the developer views and compares the results in Tableau. For ease of use, testers can mount this software on any Linux machine, which simplifies multiple running benchmarks at once and compares results.

• 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

• He, Muyun
• Gong, Fan
• Li, Shundong

Subject

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

Publisher

• Worcester Polytechnic Institute

Identifier

• 43756
• E-project-121621-185009

Advisor

• Claypool, Mark L.

Year

• 2021

Center

• Silicon Valley, California Project Center - MQP

Sponsor

• Nvidia

UN Sustainable Development Goals

• 9 - Industry, Innovation and Infrastructure

Date created

• 2021-12-16

Resource type

• Major Qualifying Project

Major

• Computer Science

Rights statement

• In Copyright