# Efficient C++ implementation of custom FEM kernel with Eigen

- Institution: CERN
- Department: Inverted CSC
- Speaker: Mikhail Sizov
- Year: 2019
- Language: English
- Subjects: Computer science
- Source: [CERN](https://videos.cern.ch/record/3006165)
- Licence: [CERN](http://copyright.web.cern.ch)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

We will start from examples of problems solved by finite element method - equilibrium magnetic fields, structural deflection calculations. Then we will talk about foundation of FEM method key concepts such as stiffness matrix and impact of high matrix dimensions and sparse characteristic to ways data can be calculated more efficiently.

To implement kernel we will introduce Eigen, a C++ linear algebra library that eliminates intermediate temporary objects by utilizing expression templates technique and generates efficient high-level math code with most of complexity taken from you..

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## Lectures

1. [Efficient C++ implementation of custom FEM kernel with Eigen](https://invisiblenetwork.ai/learn/cern/3006165/a032f93fab01), 37 min (CERN's player)