gjbex
HPC analist/consultant at Hasselt University/KU Leuven. Formerly researcher in the fields of physics and computer science at Hasselt University
Hasselt UniversityHasselt, Belgium
Pinned Repositories
DPD
Repository for the FutureLearn MOOC "Defensive programming and debugging"
Fortran-MOOC
Material related to the PRACE MOOC on Fortran programming
Machine-learning-with-Python
Repository for participants of the "Machine learning with Python" training
Python-for-data-science
Repository for participants of the "Python for data science" training
Python-for-HPC
Repository for participants of the "Python for HPC" training
Python-for-systems-programming
Repository for participants of the "Python for systems programming" training
Python-software-engineering
Repository for participants of the "Python software engineering" training
Scientific-C-plus-plus
Repository for participants of the "Scientific C++" training
Scientific-Python
Repository for participants of the "Scientific Python" training
training-material
A collection of code examples as well as presentations for training purposes
gjbex's Repositories
gjbex/training-material
A collection of code examples as well as presentations for training purposes
gjbex/Fortran-MOOC
Material related to the PRACE MOOC on Fortran programming
gjbex/Python-for-systems-programming
Repository for participants of the "Python for systems programming" training
gjbex/Python-software-engineering
Repository for participants of the "Python software engineering" training
gjbex/Scientific-C-plus-plus
Repository for participants of the "Scientific C++" training
gjbex/Python-for-HPC
Repository for participants of the "Python for HPC" training
gjbex/Scientific-Python
Repository for participants of the "Scientific Python" training
gjbex/Python-for-data-science
Repository for participants of the "Python for data science" training
gjbex/Machine-learning-with-Python
Repository for participants of the "Machine learning with Python" training
gjbex/Python-on-GPUs
Repository for the training on using GPUs from Python.
gjbex/atools
Tools to make using job arrays a lot more convenient.
gjbex/Parallel-programming
Material for a training on parallel programming with MPI, OpenMP and TBB.
gjbex/Version-control-with-git
Repository for participants of the "Version control with git" training
gjbex/Containers-for-HPC
Repository for participants of the "Containers for HPC" training
gjbex/Defensive_programming_and_debugging
This is material to complement the FutureLearn MOOC on "Defensive programming and debugging", as well as for training purposes.
gjbex/Code-optimization
Repository for participants of the "Code optimization" training
gjbex/Julia_good_bad_ugly
Get to know the Julia programming language to see whether it is for you.
gjbex/Best-practices-for-scientific-computing
Material for a training on best practices for scientific computing.
gjbex/Cheatsheets
Collection of cheat sheets
gjbex/C-plus-plus-software-engineering
Material for a training session on C++ software engineering
gjbex/CMake-usecases
Repository for interesting CMake use cases
gjbex/GPU-programming
Material for a training on portable GPU programming
gjbex/GrayNorm
GrayNorm is an algorithm that helps the researcher to identify suitable reference genes that are minimally influenced by the experiment. Gene expression levels are determined by quantitative reverse transcription PCR (RT-qPCR) and one is interested in up- or down regulation of various genes as a consequence of varying experimental conditions.
gjbex/Python-dashboards
Repository that contains material for training sessions on creating dashboards using Python.
gjbex/Python-for-programmers
Repository for participants of the "Python for programmers" training
gjbex/Training-sessions
Overview of training sessions on (parallel) programming, scientific computing, data analysis and HPC workflows
gjbex/Scientific-C
Material for a training on C as a language for scientific programming
gjbex/CI-example
Repository to illustrate CI for software testing
gjbex/Pintest
Application to test process and thread placement, as well as pinning.
gjbex/worker-ng
Next-generation worker implementation