Gray Scott School 2026 · CINERI · Dakar
High-performance computing, from CPU to GPU.
Two weeks of high-performance computing training, followed at CINERI, bringing together researchers, engineers and students. One case study, optimized from the CPU core to the GPU, with access to the TAOUEY supercomputer.
Gray-Scott
1 source
One source, retargeted from CPU to GPU
Gray Scott School 2026
Training room · CINERI · Dakar
The tools covered in 9 days
The center · CINERI
High-performance computing, in Senegal.
CINERI operates Senegal's national high-performance computing infrastructure, trains its users and supports research teams in four priority areas: climate, health, Earth observation and artificial intelligence.
The machine · TAOUEY
TAOUEY, the national supercomputer.
A BullSequana by Atos hosted at the Cité du Savoir in Diamniadio and operated by CINERI — third in Africa at acquisition. The school had access to it.
Peak performance
CPU cores (SKL + KNL)
GPU NVIDIA V100
Lustre storage
What it powers · science
Four application areas.
High-performance computing is not an end in itself: it is an instrument. Hover to explore the fields it moves forward.
- Climate
- Weather models & regional scenarios
- Health
- Epidemiology, imaging, screening
- Space
- Satellite imaging & land use
- AI
- Training & ML-for-science
The course · Gray Scott School
Nine days, one model.
The same Gray-Scott, made faster step by step — from the CPU core to the portable GPU. Several sessions each day.
The method
Measure, identify the limiting factor, exploit the hardware.
A method that applies to any computational code, whatever the language. Documented here, day by day.
Gray Scott School 2026 · CINERI · Dakar