Coursebooks 2017-2018

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Parallel and high-performance computing

MATH-454

Lecturer(s) :

Keller Vincent
Rezzonico Vittoria

Language:

English

Summary

This course provides insight into a broad variety of High Performance Computing (HPC) concepts and the majority of modern HPC architectures. Moreover, the student will learn to have a feeling about what architectures are suited for several types of algorithms.

Content

HPC overview:

Writing HPC code:

Keywords

HPC, Parallelization, MPI, GPU

 

Learning Prerequisites

Required courses

 

Learning Outcomes

By the end of the course, the student must be able to:

Transversal skills

Teaching methods

Lectures, exercises, project work

Expected student activities

Attendance at lectures, completing exercises, writing a project

 

Assessment methods

Oral defense of project work

 

Supervision

Office hours Yes
Assistants Yes
Forum Yes

In the programs

Reference week

 MoTuWeThFr
8-9     
9-10     
10-11     
11-12     
12-13     
13-14     
14-15     
15-16     
16-17     
17-18     
18-19     
19-20     
20-21     
21-22     
Under construction
 
      Lecture
      Exercise, TP
      Project, other

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  • Autumn semester
  • Winter sessions
  • Spring semester
  • Summer sessions
  • Lecture in French
  • Lecture in English
  • Lecture in German