csc-training/hpc-python

Stars
331
Rank 127,323 (Top 3 %)
Language
Python
License
Other
Created almost 8 years ago
Updated almost 2 years ago

csc-training/hpc-python

csc-training

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Python in High Performance Computing

Python in High Performance Computing

Exercise material and model answers for the CSC course "Python in High Performance Computing". The course is part of PRACE Training activity at CSC.

This master branch contains always the material for latest course, past courses are stored in tags.

Online version of the course is run regularly in FutureLearn.

Articles and videos of the course are also available in a simple form in this site.

Exercises

General instructions

Basic array manipulation

NumPy tools

Advanced NumPy

Performance analysis

Using cProfile

Optimising with Cython

Interfacing with libraries

C libraries

Multiprocessing

Parallel programming with mpi4py

Bonus exercises

CUDA

Introduction to CUDA programming

summerschool

CSC Summer School in High-Performance Computing

intro-to-dl

Introduction to deep learning

geocomputing

Examples for doing spatial analysis in CSC computing environment.

Jupyter Notebook

openacc

Introduction to OpenACC

advanced-parallel-prog

Advanced Parallel Programming

fortran-introduction

Introduction to Fortran Programming

julia-introduction

Two-day introduction course to Julia programming language

da-with-r-remote

Data Analysis with R (Remote Course)

mpi-introduction

Parallel programming with MPI

python-introduction

Introduction to Python 3

Jupyter Notebook

R-for-beginners

An introduction to base R for beginners suitable for self-learning.

Jupyter Notebook

parallel-prog

Introduction to Parallel Programming

hip

intro-to-ml

Exercises for Practical Machine Learning course

Jupyter Notebook

advanced-fortran

GenieWebApp.jl

Learn cloud computing by developing and deploying a web application. In this tutorial, we create an MVC web application with Julia language using the Genie framework and deploy it to a virtual machine with OpenStack, for example, on CSC Pouta and an OpenShift container platform, for example, on CSC Rahti. You can read more details from the documentation.

hip-programming

linux-1

Introduction to Linux

linux-2

Deeper introduction to using Linux

advanced-mpi

Advanced MPI and parallel I/O

GeoML

Course material for "Practical machine learning for spatial data"

Jupyter Notebook

node-level-optimization

Material for Node Level Performance Optimization course

elements-of-hpc

Elements of high-performance computing online course

sph-demo

Smoothed particle hydrodynamics parallel computing demo

r-spatial-course

csc-env-eff

CSC Computing Environment training materials

pyqgis

Materials for PyQGIS: expanding QGIS’s functionality with Python course

Jupyter Notebook

hybrid-openmp-mpi

Hybrid CPU programming with OpenMP and MPI

slidefactory

Generate lecture slides in CSC style from markdown

openmp-offload

intro-to-ml-gpu

Exercises for Practical Machine Learning: GPU Edition course

Jupyter Notebook

ml-webinar

Webinar: Machine Learning on Puhti

intro-to-parallel-computing

Introductio to Parallel Computing

python-quality-exercise

Unit testing, style checking and packaging example for Python course.

python-for-biosciences

Python for Biosciences

Jupyter Notebook

da-with-r

Data Analysis with R

r-crashcourse

Brief R intros for internal and external training

tau-performance-system

Tau lumi course vnc instructions

reproducible-r

Reproducible analytical workflows using R

gis-research-days-2022

puhti-r-workshop

Workshop on Puhti and R/RStudio access and usage

wrangling-with-R

Slides, example code and data for the "Data analysis and wrangling with R" course

spark

Analyzing Large Datasets with Apache Spark

Jupyter Notebook

sscc-qc-inter

Spring School on Computational Chemistry, intermediate QC hands-on

2020-05-14-csc

May 2020 Data Carpentry Course

slide-template-latex

chipster-microbial

Microbial Community Analysis with Chipster