Programme

Premise: the course is delivered in the academic year 2023/2024 still with the old name of "Data Management Laboratory", which will change in 2024/2025 to "High Performance Computing Laboratory". The content of the course is as follows:
• Computer Architecture:
- Logical and physical organization
- CPU architecture (parallelism, pipeline, superscalar architecture, registers, operations, buffers and internal cache)
- system bus and peripheral bus, main memory, disks
- parallel multicore, multiprocessor and GPU architectures
•     Operating systems:
- general functions
- kernel, processes and memory organization, scheduling algorithms
- file system
• Virtual systems and containers
- Virtual machine architecture
- Conainer architecture
• Communication networks:
- Network architectures, topologies of local and geographic networks
- standard TCP / IP routing and communication protocols
- Networks for HPC computing
• Storage systems:
- physical structuring
- RAID systems
- high performance file system
• HPC systems:
- intensive computing, algorithm parallelism, computer farm and job scheduling systems
- MPI libraries for running parallel programs
- Scheduling systems
- new frontiers of scientific computing and GRID.
- Cloud systems
• Algorithms, codes and programs on HPC architectures
Examples of algorithm development and execution of parallel architectures

Development examples using MPI

Development examples on GPU cards

Core Documentation

- J. F. Kurose, K. W. Ross , Reti di calcolatori e internet. Un approccio top-down
- A. S. Tanenbaum, H. Bos, B. Crispo, C. Palazzi, I moderni sistemi operativi
- A. S. Tanenbaum, T.Austin, Architettura dei calcolatori. Un approccio strutturale

Type of delivery of the course

Theoretical lessons in presence and online, Laboratory in presence

Type of evaluation

Test on the topics covered during the laboratory hours Oral examination