| Hardware Aware Scientific Computing [2024 SoSe] | ||
|---|---|---|
| Code IHASC |
Name Hardware Aware Scientific Computing |
|
| CP 8 |
Duration one semester |
Offered irregular |
| Format Lecture 4 SWS + Exercise Course 2 SWS |
Workload 240h;thereof 90h lecture 15h preparation for exam 135h self-study and working on assignments/projects (optionally in groups) |
Availability M.Sc. Angewandte Informatik M.Sc. Data and Computer Science M.Sc. Scientific Computing |
| Language English |
Lecturer(s) Peter Bastian |
Examination scheme |
| Learning objectives | Students are familiar with different forms of parallelism in modern computer architectures. The can exploit this parallelism selecting an appropriate programming model. They are familiar with modelling of parallelism and know fundamental parallel algorithms from scientific computing. | |
| Learning content | Parallel Computer Architecture - Pipelining and super-scalar processors, SIMD vectorisation - Caches - Multicore architectures - GPUs - Communication networks Programming Models - Shared memory programming with OpenMP and C++ threads - OpenCL or Cuda - Task-based programming - Message-passing, MPI Parallel Algorithms - Speedup & scalability - Roofline model - Linear Algebra: Matrix-Vector, Matrix multiplication, solving dense systems, solving sparse systems - Iterative Solution of Linear Systems - High-Performance Libraries - Differential equations - Particle Methods |
|
| Requirements for participation | basic knowledge in computer architecture and numerical methods; good programming skills in C++ | |
| Requirements for the assignment of credits and final grade | The module is completed with a graded examination. The final grade of the module is determined by the grade of the examination. Details for this examination as well as the requirements for the assignment of credits will be given by the lecturer an the beginning of this course. | |
| Useful literature | Frédéric Magoules, François-Xavier Roux, Guillaume Houzeaux: Parallel Scientific Computing, Wiley, 2016, doi: 10.1002/9781118761687 | |