Proběhlo

Annotation

The R part of course (first day) will be focused on presenting the basics of data analysis in R and visualization of data. The course will cover the introduction to the R statistical language introducing the basic data types and workflow. Afterwards, packages from the “tidyverse” collection will be presented. These includes packages for the loading of data, preprocessing data, basic data exploration, and visualization.

Annotation

The course will focus on visualization of large datasets that can come from simulations of different physical phenomena (e.g. fluid dynamics, structural analysis, etc.). To create visually pleasing outputs of such data a path tracing rendering method will be used. Most of the course aspects will be covered within the popular 3D creation suite Blender.

Abstract

With the increasing prevalence of multicore processors, shared-memory programming models are essential. OpenMP is a popular, portable, widely supported and easy-to-use shared-memory model. Developers usually find OpenMP easy to learn. However, they are often disappointed with the performance and scalability of the resulting code. This disappointment stems not from shortcomings of OpenMP but rather with the lack of depth with which it is employed.

The main web page of the event is located on the IT4Innovations Event Portal.