eedalong/ECE408

Code base and slides for ECE408:Applied Parallel Programming On GPU.

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This project provides a foundational code structure and examples for students learning Applied Parallel Programming on GPUs. It helps you build and test your own GPU-accelerated code implementations, starting from provided templates. You provide your code, and the project compiles it into an executable that can be tested with sample or user-generated datasets. This resource is for students enrolled in ECE408 or similar GPU programming courses.

144 stars. No commits in the last 6 months.

Use this if you are a student in a GPU programming course needing a starting point and testing framework for your lab assignments.

Not ideal if you are looking for a ready-to-use application or a general-purpose GPU programming library for non-academic projects.

GPU programming parallel computing computer engineering academic coursework CUDA
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 21 / 25

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144

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C++

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Last pushed

Jul 02, 2021

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