# eholk/harlan

A language for GPU computing.

Repository: https://github.com/eholk/harlan
Canonical: https://ross.abutalabs.com/products/harlan
Language: Scheme
License: NOASSERTION
License Family: other
Last push: 2015-11-04T15:50:49+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 5335, "days_push": 3955, "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 1192, forks 81 (observed 2026-08-28T04:03:56.386943+00:00)

## What it is
Harlan is a small domain-specific language implemented in Scheme for programming GPUs, compiled to OpenCL. It serves primarily as a research testbed for exploring compiler analyses and optimization techniques.

## Use cases
- write gpu kernels in a high-level dsl
- experiment with compiler optimizations for gpu code
- compile scheme-like programs to opencl
- research testbed for compiler passes
- learn how gpu compilers work internally

## When to choose
- you are researching compiler optimization techniques for gpu computing
- you want a small, hackable dsl compiler codebase to study or extend
- you need a scheme-based language that targets OpenCL

## When to avoid
- you need a production-ready gpu programming tool with active maintenance
- you want mainstream gpu development with CUDA or OpenCL directly
- you require Windows support or modern OpenCL compatibility

## Facets
- artifact type: cli-tool
- maturity: abandoned
- function: compiler, programming-language, gpu-computing, cli
- domain: gpu-computing, compilers, programming-languages
- platform: cli
- tags: dsl, opencl, scheme, research-language, gpu-kernels, algorithms, macos, linux, gpu

## Member repositories
- eholk/harlan (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:56.386943+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 2026-08-30T06:22:29.120487+00:00, confidence not recorded.
  - readme: https://github.com/eholk/harlan (fetched 2026-08-28T04:03:56.386943+00:00, sha deb7d1b480b0)
- Data as of 2026-08-30T08:39:29.467469+00:00.