This course targets programming models and methods for scalable applications on modern multi-processor and multi-core architectures.
In a first part, it provides the necessary elements of theory and defines consistency protocols, in order to be able to understand the challenges and tradeoffs associated with shared-memory concurrent programming. The emphasis is on performance and scalability aspects (efficient simultaneous use of multiple cores).
The rest of the course surveys a number of fundamental algorithmic techniques for building shared memory concurrent data structures. It studies the performance implications of these data structures and algorithmic constructs in the context of modern architectures, taking into account various aspects such as the memory and cache hierarchy, hardware consistency protocols, and non-uniform memory accesses (NUMA).
The course is accompanied by a number of practical projects. A multi-core machine is available for the experiments. Students will be able to evaluate the performance and scalability of various algorithms and data structures seen in class.
- Professor: Riviere Etienne