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COSMA
Distributed Communication-Optimal Matrix-Matrix Multiplication AlgorithmImplicitGlobalGrid.jl
Almost trivial distributed parallelization of stencil-based GPU and CPU applications on a regular staggered gridsarus
OCI-compatible engine to deploy Linux containers on HPC environments.abcpy
ABCpy packagePythonHPC
PythonHPCDLA-Future
DLA-Futureproduction
General interest repository for CSCS usersSpFFT
Sparse 3D FFT library with MPI, OpenMP, CUDA and ROCm supportfirecrest
SummerSchool2021
spla
Specialized Parallel Linear Algebra, providing distributed GEMM functionality for specific matrix distributions with optional GPU acceleration.SummerSchool2020
SummerSchool2019
CSCS HPC Summer School 2019spack-batteries-included
Installing spack without system dependenciesexamples_cpp
Examples of designs using C++11/14SummerUniversity2022
SummerUniversity2024
Tiled-MM
Matrix multiplication on GPUs for matrices stored on a CPU. Similar to cublasXt, but ported to both NVIDIA and AMD GPUs.stackinator
sshservice-cli
pytorch-training
PyTorch training at CSCSmanta
Another CLI for Alpspascal-training
Teaching materials, slides and exercises, for the GPU & CUDA training in 2017cpp-course-2023
conflux
Distributed Communication-Optimal LU-factorization Algorithmtensorflow-training
Multi-GPU training with TensorFlow on Piz Daintabcpy-models
COSTA
Distributed Communication-Optimal Shuffle and Transpose Algorithmext_mpi_collectives
ext_mpi_collectivesSummerSchool2016
pyfirecrest
Python wrappers for the FirecREST APISummerUniversity2023
gpu-training
SummerSchool2018
CSCS HPC Summer School 2018cmake-recipes
Repository for collecting, curating and maintaining up to date CMake scripts.uenv
https://eth-cscs.github.io/uenv/squashfs-mount
Setuid instead of FUSE for mounting squashfs files.cscs-reframe-tests
The CSCS ReFrame test suiteopenstack
alps-uenv
Recipes for software stacks on Alps vClusters.UserLabDay
CSCS User Lab Day – Meet the Swiss National Supercomputing Centreslurm-container
alps-cluster-config
cscs_beamer_style
ContainerHackathon
slurm-replay
Replay job submissions for Slurmnode-burn
SummerSchool2015
Repository for summer school information that will be provided to studentsSummerSchool2017
interactive
Interactive Computing with Jupyter on Piz Daint, using Python, ParaView and Juliaslurm-uenv-mount
DLA-Future-Fortran
Fortran interface for DLA-Futurepy2spack
Automatic conversion of standard Python packages to Spack package recipes.hpctools
Debugging and Performance Tools examplestools
CSCS tools including R, python, netcdf, etc...ipcluster_magic
Magic commands to support running MPI python code as well as multi-node Dask workloads on Jupyter notebooks.async-encfs-dvc
Data version control in privacy-preserving HPC workflows using DVC, EncFS, SLURM and Openstack Swift on https://castor.cscs.chSDSC-user-onboarding
Materials for the onboarding workshop for data scientists at SDSCwhip
whip is a small C++ abstraction layer for CUDA and HIPPASC_inference
compression
DLA-interface
Interface for Distributed Linear Algebrasquashfs-run
Mount directories directly under `/` without sudo, using bwrap (and without overlayfs)mchquickstart
Introduction for new MCH usersTensorFlow
containers-hands-on
Material for tutorials and hands-on about containersdynamic-resource-provisioning
Ansible-powered Dynamic Storage Resource Provisioning (DSRP)mesa
CSM libraryfirecrest-training-2023
DataWeaver.jl
spack-stack
fast spack builds on slow filesystemcineca-cuda
teaching materials for the CUDA @ CINECA Feb. 2016irpf90
IRPF90 is a Fortran90 preprocessor written in Python for programming using the Implicit Reference to Parameters (IRP) method. It simplifies the development of large fortran codes in the field of scientific high performance computing.uenv2
benchmark-resources
benchmark_resources: input filescpp-course-2024
Slides for an internal C++ course at CSCSSoftwareManagementCourse2019
Exercises and slides for the Software Management Course 2019 held at CSCSfirecrestspawner
A JupyterHub spawner to launch notebooks servers via FirecREST.Love Open Source and this site? Check out how you can help us