Università Roma Tre

Premise: the course is delivered in the academic year 2022/2023 still with the old name of "Data Management Laboratory", which will later change 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

- 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

Premise: the course is delivered in the academic year 2022/2023 still with the old name of "Data Management Laboratory", which will later change 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

- 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