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Tony-Tan/CUDA_Freshman resource

None observed · 2026-08-28

github.com/Tony-Tan/CUDA_Freshman · Cuda observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3145
  • days_rel: n/a
  • days_push: 960
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2792 stars · 514 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of CUDA example programs accompanying a Chinese-language blog tutorial series on GPU programming, partly based on the book 'Professional CUDA C Programming'. It covers the CUDA programming model, execution model, memory hierarchy, and streams with runnable code for each lesson.

Use cases

  • learn CUDA programming from scratch
  • understand GPU thread and warp execution
  • study CUDA shared memory and global memory optimization
  • learn CUDA streams and concurrent kernel execution
  • find example code for CUDA memory management
  • practice parallel reduction and loop unrolling on GPU

When to choose

  • you are a beginner learning CUDA with accompanying blog explanations
  • you want runnable examples of core CUDA concepts like memory, warps, and streams
  • you prefer tutorial-style code over reference documentation

When to avoid

  • you need production-ready CUDA libraries or frameworks
  • you want an English-language tutorial (content is mostly in Chinese)
  • you need maintained, licensed code for commercial use (no license is provided)

Facets

learning-resource · maturity stable

gpu-computing developer-tools benchmarking gpu-computing tutorials developer-tools cpp cross-platform cuda gpu-programming tutorial-code parallel-computing c-plus-plus gpu linux

1 source

Member repositories

RepositoryRoleHealth v2
Tony-Tan/CUDA_Freshmanmain32

For agents

markdown · JSON · MCP: product_card(name="Tony-Tan/CUDA_Freshman")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem