PARALLEL AND DISTRIBUTED COMPUTING

1. Computing systems (5 hours)
1.1. Information theory; 1.2. Taxonomy of computing systems; 1.3. Abstract machines; 1.4. Computational complexity

2. Parallel computing (13 hours)
2.1. Parallel architectures; 2.2. Parallel algorithms; 2.3. Performance evaluation; 2.4. Message Passing Interface (MPI); 2.5. MapReduce; 2.6. Multicore systems, OpenMP; 2.7. General Purpose GPU Programming, CUDA

3. Autonomic computing (3 hours)
3.1. The four principles of autonomic computing; 3.2. MAPE-K model; 3.3. NAM, NAM4J, DRF frameworks

4. Simulation techniques (5 hours)
4.1. General concepts about simulation; 4.2. Discrete event simulation; 4.3. DEVS models; 4.4. DEUS simulation platform

5. Quantum computing (16 hours)
5.1. History of quantum computing; 5.2. Review of linear algebra; 5.3. Postulates of Quantum Mechanics; 5.4. Quantum bit; 5.5. Quantum circuits; 5.6. Quantum algorithms; 5.7. Quantum security protocols