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Controversial Supercomputer Predicts Who Will Win Premier League This Season – See Details
Popular and dreaded supercomputer is back and it’s even more shocking than usual as it has predicted that Arsenal will win the Premier League title this season.
Infoexpert24 reports that the supercomputer believes Liverpool and seven other clubs will fail to win a single away game all season.
Throughout each season, various supercomputers predict how the Premier League table is going look come May. Right now, Arsenal are leading the way in the Premier League – sitting one point ahead of champions Manchester City and bitter rivals Tottenham.
Brighton are also in the top four and Fulham are sixth, while pre-season contenders Chelsea and Liverpool are seventh and eighth respectively. At the other end of the table, Leicester, Nottingham Forest and West Ham are sitting in the bottom three – with Aston Villa, Crystal Palace and Wolves hovering just above the drop zone.
Most critics accept the table won’t look like this come the end of the season. For example, Liverpool are expected to finish in the top four and it would be a shock to see West Ham in a relegation battle. Yet Football Web Pages’ supercomputer sees things differently.
According to their mystic powers, Arsenal will win the Premier League title by three points. What’s most surprising about this prediction is Man City are tipped to win all 19 of their home games and still finish second! And that’s not the only shocking call.
Brighton are backed to finish level on points with Pep Guardiola’s side by winning all but one of their games at the Amex – and Tottenham are also predicted to have a 100 per cent record at home. Antonio Conte‘s side are tipped to finish fourth.
What is Supercomputer?
Supercomputers capable of around 10 17 FLOPS have been around since 2017. Supercomputers are typically utilized in scientific and engineering applications that deal with enormous databases and require a lot of computing.
Supercomputers have developed from the grid to cluster systems of massively parallel computing. Cluster system computing refers to the usage of several processors in a single system as opposed to an array of individual computers in a network.
These devices are enormous in size. A most powerful supercomputer might take up anything from a few feet to hundreds of feet. The cost of a supercomputer might range from 2 lakh to more than 100 million dollars.
They can accommodate over a hundred users at once. These computers can handle the enormous quantity of computations that are impossible for a human to do, i.e., calculations that are so complex that a human cannot solve them. These are the costliest computers ever created.
Early operating systems were speed-enhancing custom-made for each supercomputer, but the trend has been away from proprietary operating systems and toward the adaption of generic software, like Linux. Today’s top supercomputers all run Linux-based operating systems.
How do Supercomputers Work?
The central processor units of supercomputer architectures are numerous (CPUs). Compute nodes and memory are grouped together in these CPUs. Thousands of nodes can be found in supercomputers, which collaborate to solve problems by using parallel processing.
The most robust and powerful supercomputers are made up of several parallel computers. There are two methods for parallel processing: symmetric multiprocessing and enormous parallel processing. Sometimes, rather than housing all of the CPUs in one place, supercomputers are spread, i.e., they take power from a number of separate PCs located in various places.
Floating-point operations per second (FP/s), often known as petaflops or PFLOPS, are the unit of measurement for supercomputer processing performance.
What are the Applications of Supercomputers?
Supercomputers are used for a variety of computationally demanding tasks in many different fields, such as quantum mechanics, weather prediction, climate research, oil and gas exploration, molecular modeling (calculating the structures and properties of chemical compounds, biological macromolecules, polymers, and crystals), and physical simulations, among others (such as simulations of the early moments of the universe, airplane and spacecraft aerodynamics, the detonation of nuclear weapons, and nuclear fusion). They are crucial to the discipline of cryptanalysis.
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