phlip79/15618-domp — explained in plain English
Analysis updated 2026-07-18 · repo last pushed 2019-05-07
Distribute a computationally expensive data analysis job across multiple networked computers instead of one machine.
Speed up simulations or ML training runs by splitting work across a small cluster.
Study a working example of a distributed OpenMP-style parallel programming model.
Use as a reference implementation for a parallel computer architecture course project.
| phlip79/15618-domp | achanana/mavsdk | alange/llama.cpp | |
|---|---|---|---|
| Stars | — | — | 0 |
| Language | C++ | C++ | C++ |
| Last pushed | 2019-05-07 | 2024-05-20 | — |
| Maintenance | Dormant | Dormant | — |
| Setup difficulty | hard | moderate | moderate |
| Complexity | 4/5 | 4/5 | 4/5 |
| Audience | researcher | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
Built as an educational course project, not a production tool, the README lacks detailed setup or design documentation.
A class project implementing DOMP, an OpenMP-inspired system for running parallel code across multiple networked computers instead of just cores on one machine, to speed up heavy computations.
Mainly C++. The stack also includes C++.
Dormant — no commits in 2+ years (last push 2019-05-07).
Setup difficulty is rated hard, with roughly 1day+ to a first successful run.
Mainly researcher.
This repo across BitVibe Labs
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