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brucefan1983/CUDA-Programming resource

Sample codes for my CUDA programming book observed · 2026-08-28

github.com/brucefan1983/CUDA-Programming · Cuda · GPL-3.0 (copyleft) observed · 2026-08-28

Health v2 · maintenance only

48/100

  • Activity 57
  • Release rhythm 8
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2679
  • days_rel: n/a
  • days_push: 262
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2091 stars · 388 forks observed · 2026-08-28

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

Sample source code accompanying a Chinese CUDA programming book (with an English version in progress) by Bruce Fan. It provides runnable CUDA C++ examples covering thread organization, memory, speedup techniques, and molecular dynamics simulation on GPUs.

Use cases

  • learn CUDA programming from scratch
  • find example CUDA kernel code
  • understand GPU thread organization
  • learn unified memory in CUDA
  • GPU-accelerate molecular dynamics simulations
  • study CUDA performance optimization techniques

When to avoid

  • you need production-ready CUDA libraries
  • you want Python-first CUDA tutorials (the pyCUDA companion repo is unmaintained)
  • you need coverage of advanced topics like multi-GPU or NCCL

Facets

learning-resource · maturity active

gpu-computing simulation developer-tools gpu-computing tutorials simulation cpp windows cuda nvidia gpu-programming book-samples molecular-dynamics c-plus-plus gpu linux macos

1 source

Member repositories

RepositoryRoleHealth v2
brucefan1983/CUDA-Programmingmain48

For agents

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