High-Performance Computers
We all know the "monster machines" form companies like Cray and IMB with all this huge computer that looks scary sometimes. But what is high-performance computing?
As Albert Einstein said, "We can't solve problems by using the same king of thinking we used when we created them".
High-Performance Computing most generally refers to the process of aggregating computing power in a way that delivers much higher performance that one cloud gets out of a typical desktop computer or workstations, these computers solve large problems in science, engineering, or business.
Some common but complex problems that involve high-performance computing accuracy are:
Oil and gas industry modeling
Electric design and automation
There dozens more topics that involve high-performance computing, this is just a brief introduction of what HPC does.
The top500 list is a list with the most powerful HPC and the most powerful of them is surprisingly the Chines Sunway TaihuLight is over 10 Million Cores.
Sunway TaihuLight - Sunway SW26010- by National Supercomputing Center in Wuxi, China (has 10,649,600 Cores)
Summit - IBM Power System AC922, by IBM, United States (has 2,414,592 Cores)
Sierra - IBM Power System S922LC, by IMB, United States(has 1,572,480 Cores).
Just like any other desktop or laptop we use, the HPC cluster will not run without software. The two most popular choices for HPC software is Linux(open-source Operating System) and Windows. Moreover, the most common programming language used for High-Performance Computing problems is C and C#, along with parallel programming(a way to program using threads).
To sum up, every problem has a solution, some of them are easy or hard and some of them are HPC.!
Source: https://www.techopedia.com/definition/4595/high-performance-computing-hpc
Source: https://www.weforum.org/agenda/2019/02/supercomputing-could-solve-many-of-the-world-s-problems-and-create-many-more/
Source: https://www.weforum.org/agenda/2019/02/supercomputing-could-solve-many-of-the-world-s-problems-and-create-many-more/
Source: https://www.top500.org/lists/2019/06/