HPE GreenLake
What is Supercomputing?
Supercomputing efficiently solves extremely complex or data intensive problems by concentrating the processing power of multiple, parallel computers.
Supercomputing definition
The term "supercomputing" refers to the processing of massively complex or data-laden problems using the concentrated compute resources of multiple computer systems working in parallel (i.e. a "supercomputer"). Supercomputing involves a system working at the maximum potential performance of any computer, typically measured in Petaflops. Sample use cases include weather, energy, life sciences and manufacturing.
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Why supercomputing?
Supercomputing enables problem solving and data analysis that would be simply impossible, too time-consuming or costly with standard computers, e.g. fluid dynamics calculations. Today, big data presents a compelling use case. A supercomputer can discover insights in vast troves of otherwise impenetrable information. High Performance Computing (HPC) offers a helpful variant, making it possible to focus compute resources on data analytics problems without the cost of a full-scale super computer.
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HPE supercomputing
HPE approaches supercomputing through a High Performance Computing (HPC) architecture. HPC makes it possible to overcome traditional cost barriers to supercomputing. You can choose how much compute power you want to concentrate in HPC clusters. Our HPC solutions empower innovation at any scale, building on our purpose-built HPC systems and technologies solutions, applications and support services.
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How supercomputing democratises AI
Digital twin technology is the practice of creating a computer model of an object such as a machine or a human organ, or a process like the weather. By studying the behaviour of the twin, it is possible to predict the behaviour of the real-world counterpart, using that knowledge to address problems before they occur. Digital twin technology is undergoing tremendous change, thanks to increases in the processing capabilities of high-performance computing (HPC) technologies and the use of artificial intelligence (AI) software.
- Formula One racing carmakers are creating digital twins of their cars and testing them in virtual wind tunnels.
- Medical companies are building digital twins of organs such as the heart to observe how they might respond to various interventions.
- Weather organisations are building digital twins of storm systems.
How is AI changing digital twin technology?
AI is having a profound impact. Formerly, you used established equations related to things like energy, mass and heat transfer to build a digital twin. To predict the weather, you would feed in information about today’s weather.