# trevor-vincent/awesome-high-performance-computing

A curated list of awesome high performance computing resources

Repository: https://github.com/trevor-vincent/awesome-high-performance-computing
Canonical: https://ross.abutalabs.com/products/awesome-high-performance-computing
License Family: other
Topics: awesome, awesome-list, hpc
Last push: 2026-08-06T17:23:15+00:00

## Health v2 (maintenance only)
Score: 75/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 96, release rhythm 35, longevity 100
- inputs: {"age_days": 2014, "days_push": 27, "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 1312, forks 137 (observed 2026-08-28T04:04:20.206681+00:00)

## What it is
A curated awesome-list of high performance computing resources covering software, hardware, people, and reference materials. It indexes HPC libraries, supercomputer rankings, and learning resources rather than providing software itself.

## Use cases
- find high performance computing libraries and tools
- learn about parallel computing and supercomputing
- discover GPU programming resources like CUDA
- find links to Top500 supercomputer rankings
- explore HPC hardware and history resources

## When to choose
- you want a starting point to discover HPC tools and learning materials
- you need links to parallel programming languages and frameworks like Chapel, Charm++, or CUDA
- you are researching supercomputing trends and history

## When to avoid
- you need working software rather than a list of links
- you need maintained, production-ready HPC tooling itself
- you need beginner tutorials with structured curriculum rather than curated references

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools
- domain: gpu-computing, hardware, tutorials, awesome-lists
- platform: cross-platform
- tags: hpc, supercomputing, parallel-computing, curated-list, cuda, mpi

## Member repositories
- trevor-vincent/awesome-high-performance-computing (main) score 75

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:20.206681+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 2026-08-30T04:49:25.844862+00:00, confidence not recorded.
  - readme: https://github.com/trevor-vincent/awesome-high-performance-computing (fetched 2026-08-28T04:04:20.206681+00:00, sha 274e4700a343)
- Data as of 2026-08-30T08:39:29.467469+00:00.