01 / IMPLEMENTATION & CONTRIBUTION
The reference and its role
An introductory course reference using the supplied CUDA device-query program, compiler setup, and Slurm job files. No custom GPU kernel is claimed.
Technical depth
CUDA compiler/toolchain, GPU device properties and batch scheduling exposure, as an introductory reference rather than a custom parallel-computing project.
The project family
uiuc/ECE40802 / RESULTS
What came out of it
A concrete foundation for inspecting GPU device properties and understanding the CUDA build and batch-execution workflow.
03 / SUPPORTING EVIDENCE
Follow the source
Implementation notes, project records, and supporting artifacts.
Source context & project scope
Do not claim custom CUDA kernels, GPU optimization, performance results or original authorship from this folder.
Represent as current learning/reference only, if included publicly.