High-performance computing processes vast amounts of data and performs complex calculations using supercomputers. A supercomputer has a much higher level of performance as 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 computational sciences. Areas where it is used, include weather forecasting, quantum mechanics, etc. As the amount of data one needs to work with has been growing exponentially, so is the need for computing power.
Applications of HPC (High-Performance Computing)
Augmented reality can help you test the products you want to buy, giving a real physical feel. You can know more about augmented reality here. With this, it is possible that gaming and television will become augmented. Sportspersons 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 forecast the behavior of yet-to-be-discovered materials. As a result, it opens the door to developing novel industrial materials.
One area where HPC has found its use is computational fluid dynamics. Some life-changing goods have been developed due to the simulation of wind turbines, aviation components, and the prediction of material strength. You can find more about computational fluid dynamics and HPC here.
Weather forecasting and monitoring
NASA uses high-performance computing to remotely monitor the sun’s severe UV irradiation, which results in solar flares, the solar weather disruptor.
Spacecraft, satellites, and solar stations are launched depending on the solar system’s weather. A change in solar weather can also impact the planet’s transmission utilities, especially those that depend in some way on the solar system.
Therefore, it is essential to monitor the changes in solar weather throughout time to support human space travel and safeguard the Earth. More here.
What is the climate on the sun like, and whence did the cosmos come from? Although the answers to those questions have significant significance for us on Earth, gathering the data required to do so requires a lot of resources and technological know-how. Models with an HPC foundation are helpful in this situation. They make the most of the data collected by satellites and probes. For more references, you can refer here.
Computers already track vital signs, record private patient data, and evaluate treatment effectiveness. Even more complicated operations, like genome sequencing and drug testing, have been made digital by the emergence of HPC.
Example: Living Heart Project Researchers used HPC to create a virtual human heart.
Ultra-precise digital models allow researchers to control over 25 million variables to test the cardiovascular effects of surgical procedures and new drugs. Refer here for further reading
Metropolitan areas worldwide have started collecting sensor data on weather, traffic patterns, and noise levels, enabling police officers to make data-driven decisions on everything from issuing smog alerts to how often trains run. I can do it. It can also quantify long-term issues such as climate change and infrastructure decay. Smart city sensor networks collect so much data that HPC is needed to analyze it all. Click here for further reference.
Please Don't Forget To Join Our ML Subreddit
Prathvik is 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 in learning about the applications of Machine learning in different fields of study.