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parallel101/course resource

高性能并行编程与优化 - 课件 observed · 2026-08-28

github.com/parallel101/course · homepage · C++ · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

76/100

  • Activity 97
  • 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: 1727
  • days_rel: n/a
  • days_push: 20
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

4214 stars · 556 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

An open-source Chinese-language course on modern C++ and high-performance parallel programming, containing lecture slides and source code for each lesson. Topics span modern C++ (STL, RAII, templates), multithreading, OpenMP/TBB, memory optimization, GPU/CUDA programming, and parallel algorithms with physics simulation projects.

Use cases

  • learn modern C++ from scratch
  • learn parallel programming in C++
  • understand OpenMP and Intel TBB
  • learn CUDA GPU programming
  • optimize C++ code for CPU cache and memory bandwidth
  • study parallel algorithms like reduce and matrix multiplication
  • learn lock-free multithreading in C++11

When to choose

  • you want a free structured course covering modern C++ through GPU parallel programming
  • you prefer learning from slides paired with runnable example code
  • you are interested in high-performance computing and physics simulation in C++

When to avoid

  • you need a production library or framework rather than educational material
  • you cannot read Chinese-language lectures and slides
  • you need a license permitting commercial reuse of the content (CC-BY-NC-SA)

Facets

learning-resource · maturity active

developer-tools simulation graphics education tutorials developer-tools performance cpp cross-platform windows parallel-computing high-performance-computing cpp17 openmp tbb cuda slides course-materials multithreading gpu-programming linux gpu

1 source

Member repositories

RepositoryRoleHealth v2
parallel101/coursemain76

For agents

markdown · JSON · MCP: product_card(name="parallel101/course")

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