Description
The increasing complexity of scientific simulations solving problems in the natural sciences requires the use of suitable parallel computer systems. The efficient use of parallel computers necessitates an understanding of the microarchitecture to enable the development of strategies for using parallelism and optimizing performance. Furthermore, the simulation codes must be adapted at the level of parallel programming models or parallel algorithms correspondingly. In this lecture, prevalent methods and tools will be presented which are applied in the field of high-performance computing.
The objectives of the lecture are the comprehension of essential parallel computer architectures, knowledge of basic design methods and optimization strategies for serial and parallel algorithms, methods for runtime analysis of parallel applications, as well as the basic understanding of fundamental operations of parallel programming.
Content
- Characteristics of micro architectures
- Parallel computer architectures
- Network topologies
- Blocking algorithms to exploit data locality in deep memory hierarchies
- Design principles of parallel algorithms
- Modelling parallelism (speedup, efficiency, Amdahl) and performance
- Introduction to parallel programming
- Further selected topics
Schedule
The lecture will take place on Tuesdays at 12:30 p.m. in AH VI and Fridays at 10:30 a.m. in AH VI. The RWTHonline system gives an up-to-date account of lecture times and room assignments for the lecture and the exercises.
Materials
Materials will be published using the Moodle course room. You can get access by registering for the lecture in RWTHonline.