Modellbildung und Simulation 16/17
Mathematical Modeling and Simulation
(student project, focus: Hardware-oriented Numerics)
Bachelor: Two semesters.
Undergraduate (Bachelor). Course track: Technomathematik, Mathematik, others (possible).
In these student projects, we introduce the concept of 'Hardware-oriented Numerics', where hardware-efficiency, numerical efficiency and energy-efficiency are addressed simultaneously in the development of numerical simulation software. Here, students learn to run a full software (and even sometimes hardware) development cycle. In the course of the project we will provide you insight into cutting-edge programming and hardware technologies centered around modern parallel and heterogeneous compute ressources. In the core learning phase we will teach you
- Parallel hardware architectures (x86, GPGPUs, Power, ARM-based SoCs)
- SIMD parallelism and vectorization of numerical software components
- multicore and shared memory parallelism and OpenMP / pThreads / c++11 threads
- GPU acceleration of numerical software, especially programming with CUDA (as well as cuSparse, cuSolver, cuBLAS)
- distributed memory parallelism including programing approach (MPI), as well as mathematical methods (such as Domain Decomposition)
- performance engineering techniques on the node and cluster levels
You should have good programming skills in C/C++. The faculty programming course will offer this. Other equivalent courses maybe good as well. Numerics I (and maybe II) would be good.
GPGPU-accelerated simulation of Shallow-Water Flows
Course date and location (Summer 2016, winter 2016/2017)
- Date: Fixed weekly project meeting
- Place: Project rooms, PAV10
- Lecturer(s): Markus Geveler
- Organizers / Advisors: Markus Geveler, Stefan Turek