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Supercomputers should enable new research opportunities for the medical world. That is however currently not the case. Researchers’ ideas are piling up, while the accessibility of supercomputers is still vastly limited.

One researcher at Harvard dealt with the shortage of supercomputers innovatively. He cloned the university’s supercomputer on Google Cloud.

It takes creativity to make groundbreaking research possible. Researchers can use the enormous computing power of supercomputers to explore new research avenues. Mainly to work with AI and big data, additional computing power is often required, or research will be slowed down unnecessarily.

Cloud as a solution

The innovative researcher himself was researching a heart disease. The supercomputer was needed to simulate a therapy that removes blood clots and tumour cells.

There are few supercomputers around, but the cloud can compensate for the shortage: “People are realizing the potential of the cloud and technical-scientific engineering computing to solve problems. Also to really unlock productivity and get to better answers and better insights faster,” said Bill Magro, chief high perfomance computing technologist at Google Cloud, in a comment to Reuters.

Also read: Fujitsu and NetApp help build supercomputer DelftBlue from TU Delft