Paralleelarvutused 2023/24 sügis

Lectures

MON 12:15, Delta 1022 (weeks 2-16; first lecture on 11 September)

Zoom (log into courses to see link)

Lecture 1-9 slides (pdf)

Lecture recordings

Course syllabus:

1. Introduction to parallel computing Video
2. Motivation for parallel computing and HPC Video
3. The Shady Side of Parallel Computing (An Introduction to Shaders) - Guest lecture by Ulrich Norbisrath - Slides (pdf)
4. What is parallel computing; Parallel computer architectures
5. Analytical modelling of parallel algorithms
6. Parallel Algorithm Design Principles
7. General Purpose GPU Programming - Guest lecture by Mohammad Anagreh GPGPU slides (pdf); Decomposition techniques
8. Tasks and Interactions; Techniques for Load Balancing
9. Domain Decomposition Method
10. Computer Benchmarks; Parallel programming models
11. MapReduce distributed computing model (Pelle Jakovits)
    • MapReduce lecture slides (pdf)
    • Lecture recording
12. Parallel data structures and Apache Spark (Pelle Jakovits)
    • Spark lecture slides (pdf)
    • Lecture recording
13. Distributed DataFrames and Parallel computing models for Graph processing (Pelle Jakovits)
    • Spark Dataframe and Graph lecture slides (pdf)
    • Lecture recording
14. Exam consultation
15. Final exam