The course analyzes the role of the programmer, the compiler, the runtime and operating systems when looking for productive programming environments and their efficient implementation. The course also describes the tools required to understand the behavior of parallel applications when executed on current supercomputing architectures (based on a collection of distributed-memory nodes, each one built from current multicore chips and/or accelerators). The course will be very practical with optimization and parallelization assignments using different tools (Extrae, Paraver and Dimemas) and programming models (OpenMP, OmpSs, MPI or CUDA) and insights into their implementation.

Type of methodology: Combination of lecture and hands-on, Self learn