Coursebooks 2017-2018

PDF
 

Caution, these contents corresponds to the coursebooks of last year


Parallelism and concurrency

CS-206

Lecturer(s) :

Kuncak Viktor
Odersky Martin

Language:

English

Summary

The course introduces parallel programming models, algorithms, and data structures, map-reduce frameworks and their use for data analysis, as well as shared-memory concurrency.

Content

Parallel programming & execution models

Functional parallelism

Data-level parallelism

Threads and fork/join parallelism

Synchronization

Cache coherence

Memory models

Threads and Shared Memory in Java

Performance optimization

Keywords

Parallelism, threads, synchronization, locks, memory models.

Learning Prerequisites

Required courses

' Functional programming (CS-210)

' Algorithms (CS-250)

' Computer Architecture (CS-208)

Recommended courses

System oriented programming (CS-207)

Important concepts to start the course

Functional programming and functional data structures

Algorithms and data structures

Learning Outcomes

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

Teaching methods

Ex cathedra, labs, exercices

Assessment methods

With continuous control

Resources

Notes/Handbook

Lecture notes, copies of the slides

In the programs

  • Computer Science, 2017-2018, Bachelor semester 4
    • Semester
      Spring
    • Exam form
      During the semester
    • Credits
      4
    • Subject examined
      Parallelism and concurrency
    • Lecture
      1 Hour(s) per week x 14 weeks
    • Exercises
      1 Hour(s) per week x 14 weeks
    • Project
      2 Hour(s) per week x 14 weeks
  • Passerelle HES - IN, 2017-2018, Spring semester
    • Semester
      Spring
    • Exam form
      During the semester
    • Credits
      4
    • Subject examined
      Parallelism and concurrency
    • Lecture
      1 Hour(s) per week x 14 weeks
    • Exercises
      1 Hour(s) per week x 14 weeks
    • Project
      2 Hour(s) per week x 14 weeks
  • Communication Systems, 2017-2018, Bachelor semester 4
    • Semester
      Spring
    • Exam form
      During the semester
    • Credits
      4
    • Subject examined
      Parallelism and concurrency
    • Lecture
      1 Hour(s) per week x 14 weeks
    • Exercises
      1 Hour(s) per week x 14 weeks
    • Project
      2 Hour(s) per week x 14 weeks

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

legend

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