Triton cluster¶
Triton is the Aalto high-performance computing cluster. It serves all researchers of Aalto, but is currently coordinated from within the School of Science. Access is free for researchers (students not doing research should check out our intro for students). It is similar to the CSC clusters, though CSC clusters are larger and Triton is easier to use because it is more integrated into the Aalto environment.
Quick contents and links¶
Triton contents
For full contents, see below. |
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General links
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Overview¶
Tutorials¶
These are designed to be read (or watched) in-order by every Triton user when they get their accounts (except maybe the last ones). In order to use Triton well, in the Hands-on SciComp roadmap you should also know the Basics (A) and Linux (C) levels as a prerequisite.
Detailed instructions¶
- Available compilers
- Debugging
- Nvidia DGX machines
- Frequently asked questions
- Running programs on Triton
- GPU Computing
- Grid computing
- Grid computing 2
- Monitoring jobs
- Monitoring jobs’ usage of the filesytem
- Libraries
- Storage: local drives
- Storage: Lustre (scratch)
- MPI on Triton
- Profiling
- Quotas
- Singularity Containers
- Small files
- Triton ssh key fingerprints
- Storage
- Compilers and toolchains
- Remote workflows at Aalto
Applications¶
See our general information and the full list below:
- Applications: General info
- FHI-aims
- Armadillo
- Boost
- COMSOL Multiphysics
- Deep learning software
- Detectron
- Fenics
- FMRIprep
- Freesurfer
- FSL
- GPAW
- Gurobi Optimizer
- Julia language on triton
- Jupyter
- Keras
- Lammps
- Using Mathematica on Triton
- Matlab
- MLPack
- MNE
- NVIDIA’s singularity containers
- Octave
- OpenFOAM (with ParaView)
- OpenPose
- Paraview
- Python
- PyTorch
- R
- RStan
- RStudio
- Siesta & Transiesta
- Your own notebooks via
sjupyter
- Spyder
- Tensorflow
- Theano
- VASP
- VisIT