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AMRE 2024: Computer Hardware Analysis for Automated System Modeling for the Laboratory for Physical Science

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Computer Hardware Analysis for Automated System Modeling (CHA2SM)

This project is part of the College of Wooster's 2024 AMRE (Applied Method and Research Experience) Program working for the Laboratory for Physical Science of the University of Maryland.

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To assist with the process of automated system modeling, this work develops a series of microbenchmark that detects the following hardware parameters:

  1. Number of Virtual Cores
  2. Cache Line Size
  3. Cache L3 Size
  4. Cache Associativity

The details of these programs can be found in their respective folders.

Contributors

A three person team manages the development of this project:

  1. Huy Phan, Class of 2026, College of Wooster, [email protected]
  2. Jonathan Rueffer, Class of 2026, College of Wooster, [email protected]
  3. Christ Lin, Class of 2026, College of Wooster, [email protected]

Acknowledgement

Special thanks to Dr. Robert Kelvey and Dr. Nathan Sommer along with the wonderful LPS team of Morgan Krommer,Peyman Barakhshan, Shelby Coppolino, and Dr. Brian Page for all the help and assistance along the journey.

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AMRE 2024: Computer Hardware Analysis for Automated System Modeling for the Laboratory for Physical Science

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