jcmendezcarvajal Goto Github PK

ai-science-training-series

atpesc

Materials for the OpenMP lecture at the ATPESC

atpesc_2021_nvidia_examples

NVIDIA profiling tutorial for ATPESC 2021

atpesc_machinelearning

basicopenfoamprogrammingtutorials

Introduces basic C++ concepts to beginner users of the OpenFOAM open-source CFD libraries.

cfdpython

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

cfdsfemmpi

Stabilised FEM for incompressible Navier-Stokes (MPI based)

cheatsheets

Official Matplotlib cheat sheets

containers_at_tacc

Containers@TACC Workshop

doe_visualisation_dashboard

Tiny helper dashboard for visualisation of the samples in 3D parameter space for different DoE methods.

essential_skills_rrc

Essential skills for reproducible research computing

fortran-mooc

Material related to the PRACE MOOC on Fortran programming

hands-on

Hands-on HPC I/O tutorial material

hdf5-iotest

HDF5 Performance Analysis Checklist

hiplot

HiPlot makes understanding high dimensional data easy

ids_tgv

kokkos-tutorials

Tutorials for the Kokkos C++ Performance Portability Programming EcoSystem

machine-learning-and-simulation

All the handwritten notes and source code files used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)

multiphase-info

A short PDF that BRIEFLY explain a few difference between VOF and Mixture Model.

openacc-training-materials

Training materials provided by OpenACC.org.

openfoam-workflow-vscode

This repo shows how I personally work with OpenFOAM through Docker and Visual Studio Code. Using Visual Studio Code as text editor has a number of advantages as it allows you to attach the file system of a running Docker container, which makes accessing an OpenFOAM/Docker installation much easier. Also, Visual Studio Code has extensions for OpenFOAM syntax highlighting.

openfoam_solvers_in_a_glance

OpenFoam Summary of Solvers

paraviewquick-intro

steam-cycles-ideal

python code using pyXsteam to display steam cycle plots (Carnot, rankine, rankine superheat, rankine reheat, supercritical). e.g. assuming turbine expansion is isentropic.