Q•LAB
Our mission
Towards new uses of high performance computing
The Q-LAB is a multidisciplinary scientific team, whose objective is to optimize your computations' distribution on the Qarnot infrastructure.
The Q-LAB’s mission is to explore new use cases (see below) for high-performance computing and to adapt our solution to the numerous scientific, industrial and research needs of our customers.
OPEN-SOURCE
We focus on open-source applications because they offer a rich potential, fit our philosophy and bring together enthusiasts. We also work with proprietary software when our clients need it.
3D ANIMATION
Blender - Cycles
Maya - Arnold
Arnold standalone
Maya - V-Ray
V-Ray standalone
Blender - Cycles
Maya - Arnold
Arnold standalone
Maya - V-Ray
V-Ray standalone
MACHINE LEARNING
Sickit-Learn TensorFlow
PyTorch
Auto-sklearn
MLflow
Jupyterlab
Sickit-Learn TensorFlow
PyTorch
Auto-sklearn
MLflow
Jupyterlab
FLUID DYNAMICS
Code_Saturne
OpenFoam
FDS
(Fire Dynamics Simulator)
Paraview
gmsh
WRF
Code_Saturne
OpenFoam
FDS
(Fire Dynamics Simulator)
Paraview
gmsh
WRF
FINITE ELEMENT METHOD
FreeFem++
FEniCS
Elmer
LMGC90
FreeFem++
FEniCS
Elmer
LMGC90
COMPILATION
Container builds
Kaniko
Container builds
Kaniko
MOLECULAR APPARATUS
Autodock Vina
Gromacs
Autodock Vina
Gromacs
MAP REDUCE
Spark
Spark
FINANCE
Quantlib
Quantlib
PASSWORD RECOVERY
Hashcat
Hashcat
MULTIMEDIA PROCESSING
ffmpeg
ffmpeg
OPERATION RESEARCH
OR-Tools
OR-Tools
GENOME SEQUENCING
BlastN
BlastN
For any needs or questions, contact us