# parallel101/course

高性能并行编程与优化 - 课件

Repository: https://github.com/parallel101/course
Canonical: https://ross.abutalabs.com/products/course
Homepage: https://space.bilibili.com/263032155
Language: C++
License: NOASSERTION
License Family: other
Topics: cpp17, course, slides, parallel-computing, high-performance-computing, cpp
Last push: 2026-08-13T07:40:32+00:00

## Health v2 (maintenance only)
Score: 76/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 97, release rhythm 35, longevity 100
- inputs: {"age_days": 1727, "days_push": 20, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4214, forks 556 (observed 2026-08-28T04:08:39.165781+00:00)

## What it is
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
- artifact type: learning-resource
- maturity: active
- function: developer-tools, simulation, graphics
- domain: education, tutorials, developer-tools, performance
- platform: cpp, cross-platform, windows
- tags: parallel-computing, high-performance-computing, cpp17, openmp, tbb, cuda, slides, course-materials, multithreading, gpu-programming, linux, gpu

## Member repositories
- parallel101/course (main) score 76

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:39.165781+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:22:27.779972+00:00, confidence not recorded.
  - readme: https://github.com/parallel101/course (fetched 2026-08-28T04:08:39.165781+00:00, sha 1cf50322a555)
- Data as of 2026-08-30T08:39:29.467469+00:00.