Paralleelarvutused 2024/25 sügis

Lectures

FRI 14:15, Delta 2048 (weeks 1-16; first lecture on 11 September)

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Lecture 1-2-3, 5-6, 8-9-10 slides (pdf)

Course syllabus:

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