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jfdev001/README.md

Jared Frazier

Current interests:

  • High performance computing + DevOps in these environments
  • Machine learning + climate modelling
  • Finite element/volume methods
  • Computational fluid dynamics
  • Compiler development

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  1. algebraic-multigrid algebraic-multigrid Public

    Cross platform algebraic multigrid implementation using C++, Eigen3, and Catch2. For autodidactic purposes.

    C++ 3 1

  2. hello-sparse-blas hello-sparse-blas Public

    Boilerplate Modern CMake project with Fortran and Intel MKL SpBLAS. Optional unit testing and arbitrary dependency fftpack included for illustrative purposes.

    CMake 3

  3. icon-model-machine-learning-backbone icon-model-machine-learning-backbone Public

    Backbone for using PyTorch ML models in ICON.

    Fortran 1

  4. FTorch FTorch Public

    Forked from Cambridge-ICCS/FTorch

    A library for directly calling PyTorch ML models from Fortran.

    Fortran

  5. PlasmaCellDiff PlasmaCellDiff Public

    Julia implementation of "Quantitative modeling of the terminal differentiation of B cells and mechanisms of lymphomagenesis" by Martinez 2012 (https://doi.org/10.1073/pnas.1113019109)

    Julia

  6. parallel-nbody parallel-nbody Public

    C MPI + OpenMP implementation of n-body simulation.

    C