Projects
Projects
Projects built by Gray Scott School learners, applying the HPC techniques taught at CINERI to real problems.
From techniques to applications
The Gray Scott School teaches a method — measure, find the limiting factor, exploit the hardware. The projects show its use: learners take these techniques and apply them to real problems, from climate to land cover.
The through-line is the same as in class: one source, from CPU to GPU, measured honestly.
Projects
| Project | Domain | What it demonstrates |
|---|---|---|
| SenLand | Land cover · AI | Mapping Senegal with deep learning — the same PyTorch code on CPU and GPU, measured benchmark |
This page gathers learners' projects. It is meant to host more — research, training,
demonstrators. Built a project at CINERI? Add it here.
Day 9 — Kokkos on GPU
The portable kernel reaches the accelerator. Portability is not free — layout, host↔device transfers and synchronization — then the school closes.
SenLand
Mapping Senegal's land cover with deep learning — the same code on CPU and GPU, compared honestly. A learner project built with the Gray Scott School techniques.