Lectures
- THU 14:15, Delta 2047 (weeks 1-16)Zoom (log into courses to see link)
Lecture slides (pdf)
Course syllabus:
- Introduction to parallel computing (video)
- Motivation for parallel computing and HPC
- What is parallel computing; Parallel computer architectures
- The Shady Side of Parallel Computing (An Introduction to Shaders) - Guest lecture by Ulrich Norbisrath
- Parallel architectures; Analytical modelling of parallel algorithms
- Parallel Algorithm Design Principles
- General Purpose GPU Programming - Guest lecture by Mohammad Anagreh; Decomposition techniques
- Tasks and Interactions; Fault-tolerance in parallel computing
- Techniques for Load Balancing; Decomposition, Tasks, and Dependency Graphs
- Domain Decomposition Method; Computer Benchmarks; Parallel programming models
- 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