To enable students to research in the field of architecture and communication within multi-processor systems. Getting familiar with parallel troubleshooting and parallel algorithms. Acquire Skills in designing parallel processing programs and working with multiple processor and parallel architecture operational systems. To enable students to use CUDA and GPGPU technology.

Type of methodology: Combination of lecture and hands-on

Paid training activity for participants: Yes, for some only

Participants prerequisite knowledge: C/C++;  HPC tools (e.g. profiler, scheduler)

Language: Croatian