Lectures
- THU 14:15, Delta 2047 (weeks 1-16)Zoom (log into courses to see link)
Lecture 1-3, 5-7, 9, 10 slides (pdf)
Course syllabus:
- Introduction to parallel computing (video)
- Motivation for parallel computing and HPC (video))
- What is parallel computing; Parallel computer architectures (video)
- The Shady Side of Parallel Computing (An Introduction to Shaders) - Guest lecture by Ulrich Norbisrath - Slides (pdf) - Video
- Parallel architectures; Analytical modelling of parallel algorithms (Video)
- Parallel Algorithm Design Principles; Fault-tolerance in parallel computing (video)
- Decomposition, tasks, and dependency graphs; Decomposition techniques; Mapping techniques for load balancing (video)
- General Purpose GPU Programming - Guest lecture by Mohammad Anagreh; Slides (pdf) - Opencl-codes - (video)
- Domain Decomposition Method (video)
- Computer Benchmarks; Parallel programming models and languages (video)
- MapReduce distributed computing model (Pelle Jakovits)
- Parallel data structures and Apache Spark (Pelle Jakovits)
- Distributed DataFrames and Parallel computing models for Graph processing (Pelle Jakovits)
- Exam consultation
- Final exam