Parallelism and concurrency
CS-206 / 4 credits
Teacher(s): Kashyap Sanidhya, Kuncak Viktor
Language: English
Remark: réservé aux étudiants de IC devant refaire la matière
Summary
Course no longer offered for new students; this edition is only a make-up course for those who repeated the year. Please log in with EPFL credentials and consult the mediaspace link below for course videos.
Content
(See https://gitlab.epfl.ch/lamp/cs206 for more information.)
Threads and fork/join parallelism
Synchronization
Java Memory Model
Parallel programming
Data-level parallelism
Task-level parallelism
Futures
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
Algorithms and data structures
Assessment methods
- Graded labs
- Midterm
- Final exam
Resources
Bibliography
Maurice Herlihy and Nir Shavit. 2012. The Art of Multiprocessor Programming, Revised Reprint (1st. ed.). Morgan Kaufmann Publishers Inc., San Francisco, CA, USA.
(available from EPFL library)
Ressources en bibliothèque
Moodle Link
Videos
In the programs
- Semester: Spring
- Exam form: During the semester (summer session)
- Subject examined: Parallelism and concurrency
- Lecture: 1 Hour(s) per week x 14 weeks
- Exercises: 1 Hour(s) per week x 14 weeks
- Practical work: 2 Hour(s) per week x 14 weeks
- Semester: Spring
- Exam form: During the semester (summer session)
- Subject examined: Parallelism and concurrency
- Lecture: 1 Hour(s) per week x 14 weeks
- Exercises: 1 Hour(s) per week x 14 weeks
- Practical work: 2 Hour(s) per week x 14 weeks