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

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:

• Construct parallel software.
• Perform tuning parallel software.

Teaching methods

Ex cathedra, labs, exercices

Assessment methods

With continuous control

Resources

Notes/Handbook

Lecture notes, copies of the slides