Acquire parallel and distributed programming techniques, and know modern hardware and software architectures for high-performance scientific computing. Parallelization paradigms, parallelization on CPU and GPU, distributed memory systems. Data-intensive, Memory Intensive and Compute Intensive applications. Performance analysis in HPC systems.
scheda docente
materiale didattico
CUDA C++ programming guide
Slides on TEAMS
Mutuazione: 20410426 IN480 - CALCOLO PARALLELO E DISTRIBUITO in Scienze Computazionali LM-40 R LOMBARDI FLAVIO
Testi Adottati
Peter Pacheco, Matthew Malensek, An Introduction to Parallel Programming, 2nd ed., Morgan Kaufmann, 2021, ISBN 9780128046050CUDA C++ programming guide
Slides on TEAMS
Modalità Valutazione
Written Exam plus a Software Project to be assigned by the lecturer