csc-training/CUDA

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Language Cuda
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MIT License
Created over 7 years ago
Updated over 7 years ago

csc-training/CUDA

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Introduction to CUDA programming

Introduction to CUDA programming

This repository contains the exercises used in CSCs Introduction to CUDA programming course.

A description of the course is in this document

The exercises are detailed in exercises

hpc-python

Python in High Performance Computing

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