Parallel Computing 2022/23 fall

Lectures

MON 14:15, Delta 1008 (first lecture on 5 September)

& Zoom (log into courses to see link)

Course syllabus:

Lecture 1 - 4,7,8,10,11 (+ Computer Class 2) slides (pdf)

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