HPC high performance computing and its applications

High performance computing processes large amounts of data and performs complex calculations using supercomputers. A supercomputer has a much higher level of performance compared to regular computers. While normal computers can process billions of calculations per second, supercomputers can perform quadrillions of calculations per second. Supercomputers are very important in the field of computer science. Areas where it is used include weather forecasting, quantum mechanics, etc. As the amount of data to work with has increased exponentially, the need for computing power is also increasing.

Applications of HPC (High Performance Computing)

Augmented reality

Augmented reality can help you test out the products you want to buy, giving a real physical feel. You can learn more about augmented reality here. With this, it is possible that games and television become augmented. Athletes can train virtually in real life, like simulations.

Aerodynamics and other engineering purposes

Manufacturing also benefits from high-performance computing. This approach is widely used to simulate and predict the behavior of materials yet to be discovered. As a result, this opens the door to the development of new industrial materials.

One area where HPC has found use is in computational fluid dynamics. Some life-changing products have been developed through the simulation of wind turbines, aviation components, and the prediction of material strength. You can read more about Computational Fluid Dynamics and HPC here.

Weather forecasting and monitoring

NASA uses high-performance computing to remotely monitor the sun’s strong UV irradiance, which drives solar flares, the Solar Weather Disruptor.

Spacecraft, satellites and solar stations are launched according to the weather in the solar system. A change in solar weather can also impact the planet’s transmission services, especially those that depend in some way on the solar system.

Therefore, monitoring changes in solar weather over time is critical to supporting human space travel and protecting Earth. More here.

Space research

What is the climate of the sun and where does the cosmos come from? Although the answers to these questions are of significant importance to us on Earth, collecting the data necessary for this purpose requires a lot of resources and technological know-how. Models with an HPC base are useful in this situation. They make the best use of data collected by satellites and probes. For more references, you can refer here.

Health care

Computers are already tracking vital signs, recording private patient data and evaluating the effectiveness of treatment. Even more complicated operations, such as genome sequencing and drug testing, have been made digital by the emergence of HPC.

Example: Researchers from the Living Heart Project used HPC to create a virtual human heart.

Ultra-precise numerical models allow researchers to control more than 25 million variables to test the cardiovascular effects of surgical procedures and new drugs. Refer here for further reading

Urban planning

Metropolitan areas around the world have begun collecting sensor data on weather, traffic patterns and noise levels, enabling police officers to make data-driven decisions on everything from issuing alerts to smog to the frequency of train circulation. I can do it. It can also quantify long-term issues such as climate change and infrastructure degradation. Smart city sensor networks collect so much data that HPC is needed to analyze it all. Click here for more reference.


  • https://builtin.com/hardware/high-performance-computing-applications
  • https://www.netapp.com/data-storage/high-performance-computing/what-is-hpc/
  • https://www.makeuseof.com/high-performance-computing-applications-that-changed-the-world/
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Prathvik is an ML/AI research content intern at MarktechPost, he is a 3rd year undergraduate at IIT Kharagpur. He has a keen interest in machine learning and data science. He is enthusiastic to learn more about applications in different fields of study.

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