The first article in a four-part series gives a basic overview of the GPU programming model and points readers to a Cornell GPU architecture roadmap for further study.
This is the first article in a four-part Red Hat series on GPU programming. It offers a basic overview of the programming model; it does not claim to cover the full architecture or replace hands-on work with specific tools.
As you study, identify the concepts presented as part of the programming model. Note what the article explains and what it leaves open; this can help guide your reading of the next articles in the series.
The article also points to a Cornell GPU architecture roadmap. Treat it as a complementary learning path: compare its topics with the article’s concepts and mark areas that need further study. The source does not detail the roadmap’s contents.
If you use AI to summarize the material or ask questions, avoid sending proprietary code, credentials, or internal organizational data. Prefer public or anonymized excerpts, and check responses against technical sources. This introduction is a starting point, not a solution to a specific engineering problem.