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  2. 2024/25 fall
  3. Parallel Computing (MTAT.08.020)
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Parallel Computing 2024/25 fall

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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
  • Institute of Computer Science
  • Faculty of Science and Technology
  • University of Tartu
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