Super computer vs Cloud Computing | Which is best? | Future technology

Super Computer

What is a Supercomputer?

For a long time, Computers had been a part of our lives. In our daily lives, we use computers and smartphones. Our computers and other devices are much faster than older computers. Supercomputers in 1990 had less processing power than today's smartphones. Every day, technology evolves at a breakneck pace. Some tasks are inaccessible to a standard computer. Some tasks, such as nuclear testing and weather forecasting, necessitate a large amount of computational power. A high-speed computer is required to perform billions of calculations per second. As a result, the supercomputer is used to accelerate task processing.

China has dominated the supercomputer market in recent years. China and Japan have the world's fastest supercomputers. However, the United States has developed a new supercomputer called Summit that is faster than any other supercomputer. Summit is connected to approximately 35,000 processors. A lot of electricity is required to run this supercomputer, as well as a unique cooling system.

Pros of supercomputer

• Can decrypt any password
• High processing time
• Environment safety
• Cost efficiency
• Used for filming

Cons of supercomputer

• A lot of electricity used
• A lot of areas required
• Trained staff needed
• Heat up quickly
• Maintenance is expensive

Cloud Computing

What is cloud computing?

The simplest understanding of cloud computing is renting computer services - including servers, storage(HDD, SSD), databases, networking, and software shared over the internet. So you are going to pay only for the services which are used for your purpose.

No matter how familiar you are with cloud computing, chances are good that you are already using it. Suppose you use online services to send emails, edit papers, watch movies or television, listen to music, play games, or save images and other documents. In that case, cloud computing is almost definitely enabling those activities in the background. Although the primary cloud computing services are just a few years old, numerous associations, including tiny startups, multinational corporations, government agencies, and nonprofits, are actively embracing innovation for a variety of factors.

Pros and cons of cloud computing

• Cost efficiency
• Speed
• Global scale
• Productivity
• Reliability
• Security

Cons of cloud computing

• Data retardation or data embezzlement
• Data outflow
• Service or account seizure by hackers
• DOS attack (Denial of service)
• Attacks on shared environments

Supercomputer vs cloud computing

A processor and memory are two components of a computer. Essentially, the processor does the work, and memory stores data.

When the work to be done is simple, only one processor is required. However, if you have numerous variables or a large data set, you may require additional processors.

"Many applications in the public and private sectors, such as real-time weather forecasting, aerospace, and biomedical engineering, nuclear fusion research, and Artificial Intelligence," explained Center for Data Innovation research analyst Travis Korte.

People require more sophisticated systems that can process data faster and more efficiently in these and other situations. These systems incorporate thousands of processors to accomplish this.

There are two basic ways to work with a large pool of processors. The first is supercomputing. Supercomputers are massive and expensive. The computer sits in one location with all of its many processors in that scheme, and everything flows through the local network. Distributed computing is another method for incorporating multiple processors. The processors in this scenario, the widely accepted standard form of which is cloud computing, can be located in various geographical locations, with all communication taking place over the Internet.

Why Do People Prefer Super to Cloud?

Because the information in a supercomputer moves so quickly between processors, they can all contribute to the same task. They are ideal for applications requiring real-time processing. The disadvantage is that they are frequently prohibitively expensive. They are built with the best processors, the fastest memory, specially designed components, and intricate cooling mechanisms. Furthermore, scaling a supercomputer is difficult: once the machine is built, adding more processors becomes a project.

In contrast, one reason people prefer cloud-based distributed computing is that it is much more affordable. A distributed network's design can be extremely complex, but hardware components and cooling do not need to be high-end or specially designed. It scales smoothly: as more servers (and their processors) are added to the network, processing power grows.

On the downside, Korte noted that supercomputers have the advantage of sending data over short distances via fast connections, whereas distributed cloud architecture necessitates data transmission via slower networks.

However, that contradicts what Indiana University's (home of Big Red II) supercomputing expert Geoffrey Fox told the American Association of Medical Colleges: "Fox... says the cloud's spare capacity often enables it to process a researcher's data quicker when compared to a supercomputer, which process for a long time."