Parallel Processing Systems
| Code | 3.4.3257.9 |
|---|---|
| Semester | 9th |
| Flow | Y - Computer Systems |
| Category | Obligatory by selection |
| Credits | 4 |
| Class Hours - Lab Hours | 1 - 2 |
| Lecturers | Georgios Goumas, Nectarios Koziris |
| Links | Course's Website |
| Web Platform |
Class 1:
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Description
Introduction to Parallel Processing. Shared memory and distributed memory architectures (SMP, COMA, NUMA, cc-NUMA, SMT, Clusters, MPPs). Methods, techniques and interconnection networks (Bus-oriented, Cube, Switch Network, Mixed systems). Clusters as supercomputers. Principles of parallel programming. Design and implementation of parallel programs. Parallelization and partitioning techniques. Parallel programming models: Message passing and shared address space. Synchronization and concurrent data structures. Laboratory exercises: Application development in clusters, multicore and manycore (accelerator) architectures with OpenMP, MPI, CUDA, Cilk and others. Performance analysis.