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Independent Parallel Particle Layer (IPPL)

IPPL is a C++ library to develop performance portable code for fully Eulerian, Lagrangian or hybrid Eulerian-Lagrangian methods. IPPL supports simulations in one to six dimensions, mixed precision, and asynchronous execution in different execution spaces (e.g. CPUs and GPUs).

  • Computational Fluid Dynamics
  • GPU
  • High performance computing
  • + 5
  • C++
  • TeX
  • CMake
  • + 3
23
1
Logo for AI4HPC

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
    4
    0
    Logo for Arbor

    Arbor

    Arbor is a high-performance library for computational neuroscience simulations with multi-compartment, morphologically-detailed cells, from single cell models to very large networks. Arbor is written from the ground up to help neuroscientists effectively use contemporary and future HPC systems.

    • GPU
    • High performance computing
    • Neural network
    • + 4
    • C++
    • AGS Script
    • Python
    • + 7
    11
    0
    Logo for SERGHEI

    SERGHEI

    The Simulation EnviRonment for Geomorphology, Hydrodynamics and Ecohydrology in Integrated form (SERGHEI) is a multi-dimensional, multi-domain, and multi-physics model framework for environmental and landscape simulation, intended to simulate water flow and transport across landscape scales.

    • Earth & Environment
    • GPU
    • High performance computing
    • + 4
    • C++
    • CMake
    • Shell
    • + 2
    7
    0
    Logo for spirit

    spirit

    Spirit is a platform-independent framework for atomistic spin-dynamics. It combines the traditional cluster workflow through a C-API with python bindings with modern visualisation capabilities in order to maximise scientists' productivity.

    • Atomistic Spin Dynamics
    • C++
    • CUDA
    • + 5
    • C++
    • Python
    • CMake
    • + 9
    15
    0
    Logo for TRIDEC Cloud

    TRIDEC Cloud

    TRIDEC Cloud serves functionality to handle and share threat specific information. It integrates services for obtaining event related geo-data, e.g. of earthquakes, for automated computations, e.g. of tsunami propagations, for mapping, summarizing, and communicating hazard specific data.

    • early warning
    • Earth & Environment
    • GPU
    • + 6
    • Python
    • Vue
    • Shell
    • + 6
    0
    0