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AI4HPC

AI4HPC, part of CoE RAISE, is an open-source library to train AI models with CFD datasets on HPC systems. AI4HPC also includes a benchmarking suite to test the limits of any system with CPUs and GPUs towards Exascale and a HyperParameter Optimization (HPO) suite for scalable HPO tasks.

Artificial Intelligence
Computational Fluid Dynamics
CPU
+ 4

Heat

Heat is a flexible and seamless open-source software for high performance data analytics and machine learning. It provides highly optimized algorithms and data structures for tensor computations using CPUs, GPUs and distributed cluster systems on top of MPI.

CPU
Data analysis
GPU
+ 4

Python
Jupyter Notebook
Shell
+ 1

JuKKR

The Korringa-Kohn-Rostoker (KKR) Greens function method is a highly accurate all-electron method to perform density functional theory calculations for the prediction of materials properties based on quantum mechanical simulations.

CPU
Density functional theory
High performance computing
+ 4

Fortran
TeX
Forth
+ 2

PIConGPU

PIConGPU is a relativistic Particle-in-Cell code running on graphic processing units as well as regular multi-core processors. It is Open Source und is freely available for download. It can be used to study plasmas with relativistic dynamics, solving the Maxwell-Vlasov system of equations.

CPU
GPU
Matter
+ 2

C++
Python
Shell
+ 5

SMASH - A hadronic transport approach

SMASH is a relativistic hadronic transport approach for the dynamical description of heavy-ion reactions. It is a microscopic non-equilibrium approach and incorporates all well known hadronic states and their interactions.

CPU
Matter
open source
+ 1

C++
CMake
Shell
+ 3

SMG2S

SMG2S (Sparse Matrix Generator with Given Spectrum) is able to generate large-scale non-Hermitian and non-Symmetric matrices in parallel with the spectral distribution functions or eigenvalues given by users, and the spectrum of generated matrix is the same as the one specified by the users.

CPU
High performance computing
Matrix Computation
+ 1

C++
Python
CMake
+ 1