Supercomputing is a type of high-performance computing that uses computers with high computational capacity (supercomputers) to process complex calculations and large volumes of data. Supercomputers consist of more than one CPU, interconnects, I/O systems, processor cores, and memory.
- 1 Performance and parallel processing
- 2 Supercomputing use cases
- 2.1 Research
- 2.2 Artificial intelligence
Performance and parallel processing
Supercomputing performance is measured in floating point operations per second (FLOPS). The most powerful supercomputer currently exceeds 1,190 Petaflops (PFlops). One petaflop equals one billion flops. Here is the list of 10 most powerful supercomputers in the world today.
Supercomputers contain thousands of computing nodes that can collaborate to solve specific complex problems thanks to interconnection communication capabilities. Parallel processing allows processors to work simultaneously to solve complex problems faster and more accurately. Furthermore, supercomputers are distinguished by their enormous primary memory capacity.
When it comes to operating systems, most supercomputers use Linux because it is easily customizable, supports any workload, helps optimize consumption and resources, and does not require a license, among other reasons.
Supercomputing use cases
Supercomputing serves several fields that require a high level of computing power to handle simulations, large volumes of data, and complex calculations.
Supercomputers are used in numerous research projects in fields as diverse as healthcare, climate change and nuclear fusion. They contribute to the research and development of new cancer treatments, weather forecasting, physics simulations, molecular modeling and more.
Artificial intelligence (AI) is another field where supercomputing plays an important role. Parallel processing speeds up calculations and processing of large datasets, and its high memory capacity allows it to process large volumes of data, as well as increasing the accuracy of AI models.