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If you’re a technology professional, chances are you’ve heard of high-performance computing. This is because this is an essential technology for processing large amounts of data, as well as performing complex calculations in a timely manner.
These are very important factors to increase the competitiveness of companies, which increasingly rely on a large volume of data. But if you still have doubts about it, don’t worry.
In this article, we’ll explain what high-performance computing is and how it works. Be sure to check it out!
What is High Performance Computing?
High-performance computing is a technique that uses supercomputers, clusters or grids of computers to perform processing of enormous amounts of data, as well as to perform complex calculations in a shorter period of time.
HCP, which stands for High Performance Computing, works similarly to everyday computing, but much more powerfully than traditional computing.
This is because, unlike traditional computing, HCP uses several processors that are interconnected and optimized to work together, performing massive tasks in parallel.
High-performance computing is used in many areas, ranging from scientific research to sectors such as engineering, finance and much more.
Why use high-performance computing in enterprises?
High performance computing is very important for companies, because it is responsible for processing and analyzing a huge amount of data, in a timely manner, which would be impossible to do on traditional machines.
Therefore, for companies that need to collect, store and analyze large amounts of data, HCP is indispensable. Check out, below, other important reasons to use this technology.
Fast processing of large volumes of data
This technology is what allows the processing of large amounts of data in a much shorter time than what would be necessary for ordinary computers.
This processing speed is currently indispensable for businesses that need this data to assist in decision making.
cost reduction
By using HPC, enterprises can save on hardware and software. This is because a cluster of computers can be used to perform several tasks at the same time.
Also, with the ability to process large data, in a shorter time, it becomes an optimization of time, work and money.
Improved results
This technology enables people and companies to have data results processed faster and at less cost. This data tends to be more accurate, as the ability to perform complex calculations is an advantage of the HCP.
High performance computing use cases
As we have already shown, high-performance computing is already used in several areas, improving the results of different niches, with different purposes. Check out some cases where HCP was used below!
Simulation and modeling
It is widely used for simulations and modeling, as in the automotive sector. In this sector, it is possible to simulate the behavior of the vehicle in different situations and conditions.
For example, it is possible to simulate crash tests, aerodynamic analysis of the car, among others. Furthermore, these simulations are performed in real time, which allows engineers to work in different scenarios.
Finance and stock market
In the financial sector, it is possible to perform complex data analysis and financial modeling. As an example, it is feasible to analyze the performance of stocks in different scenarios, predicting market trends based on past and current market data.
science and research
The science area also gained an important ally with the HCP. This is because it is possible to carry out simulations of the behavior of molecules, also with different scenarios, which greatly speeds up the process of developing new drugs, for example.
entertainment and games
This technology can also be used for the entertainment and games industry, as it makes it easier and more optimized to create high quality graphics and animations.
For online games, a constantly growing market, companies can process the data generated in real time and much more easily.
The relationship between cloud computing and HCP
Cloud computing and high-performance computing (HCP) are related yet distinct technologies.
While cloud computing focuses on providing computing resources such as storage and networking over the Internet, high-performance computing is geared towards intensive processing of complex tasks.
Still, they can be complementary. Cloud computing can provide the necessary infrastructure to perform high-performance computing tasks on a large scale.
In this way, companies can leverage the scalability and flexibility of the cloud to handle changing workloads.
How to choose the best served
To choose a server for high performance computing, it is essential to consider some factors that can be critical for the success of the tasks. Therefore, consider the following criteria:
- processing capacity: it is necessary to guarantee the capacity of a server to execute complex calculations with maximum agility;
- memory: a powerful RAM memory is needed to allow the server to store and access data with greater speed;
- storage: storage capacity is essential to keep large amounts of data accessible to the server;
- connectivity: you also need a high-speed network that guarantees fast data transfer;
- custom configuration: some companies, the market references, allow the customization of the server configuration for the specific needs of the business, which can be a decisive factor for the success of the strategy.
High-performance computing is a very powerful technique for processing large amounts of data, in addition to being able to perform complex calculations in a timely manner. These factors, together with the advantages of its use, make it a fundamental action for companies to increase their competitive potential.
If you want to know more about it, contact us right now and don’t have any more questions.
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