Researchers Outline in Science How Brain Research Makes New Demands on Supercomputing

"Understanding the brain in all its complexity requires insights from multiple scales - from genomics, cells and synapses to the whole-organ level. This means working with large amounts of data, and supercomputing is becoming an indispensable tool to tackle the brain," says Katrin Amunts, Scientific Director of the Human Brain Project (HBP), Director of the C. and O. Vogt-Institute of Brain Research, Universitätsklinikum Düsseldorf and Director of the Institute of Neuroscience and Medicine (INM-1) at Research Centre Jülich.

"It's an exciting time in supercomputing," says Thomas Lippert, Director of the Jülich Supercomputing Centre and leader of supercomputing in the Human Brain Project. "We get a lot of new requests from researchers of the neuroscience community that need powerful computing to tackle the brain's complexity. In response, we are developing new tools tailored to investigating the brain."

The human brain contains around 86 billion neurons that form trillions of contact points. Imaging an entire brain at cellular resolutions produces data in the range of several Petabytes; electron microscopy of a whole brain would amount to more than one Exabyte of data. "Brain research, medicine and information technologies face challenges that can only be addressed by joining the forces of all three domains," says Amunts.

In Europe, the big data challenge of neuroscience is addressed by the Human Brain Project’s research infrastructure EBRAINS. It provides a range of tools, data-, and compute-services to brain researchers. This includes access to supercomputing systems via the Fenix federated Infrastructure, which has been set up by Europe’s leading Supercomputing Centres as part of the Human Brain Project and will serve communities beyond brain research.

Within the next five years, Europe is aiming to deploy its first two exascale supercomputers. They will be acquired by the European High Performance Computing Joint Undertaking (EuroHPC JU), a joint initiative between the EU, European countries and private partners. "The brain research community stands ready to use these exascale systems," says Amunts.

Katrin Amunts, Thomas Lippert.
Brain research challenges supercomputing.
Science, 2021. doi: 10.1126/science.abl8519

Most Popular Now

Mobile Phone Data Helps Track Pathogen S…

A new way to map the spread and evolution of pathogens, and their responses to vaccines and antibiotics, will provide key insights to help predict and prevent future outbreaks. The...

AI Model to Improve Patient Response to …

A new artificial intelligence (AI) tool that can help to select the most suitable treatment for cancer patients has been developed by researchers at The Australian National University (ANU). DeepPT, developed...

Can AI Tell you if You Have Osteoporosis…

Osteoporosis is so difficult to detect in early stage it’s called the "silent disease." What if artificial intelligence could help predict a patient’s chances of having the bone-loss disease before...

Study Reveals Why AI Models that Analyze…

Artificial intelligence (AI) models often play a role in medical diagnoses, especially when it comes to analyzing images such as X-rays. However, studies have found that these models don’t always...

Think You're Funny? ChatGPT might b…

A study comparing jokes by people versus those told by ChatGPT shows that humans need to work on their material. The research team behind the study published on Wednesday, July 3...

Innovative, Highly Accurate AI Model can…

If there is one medical exam that everyone in the world has taken, it's a chest x-ray. Clinicians can use radiographs to tell if someone has tuberculosis, lung cancer, or...

New AI Approach Optimizes Antibody Drugs

Proteins have evolved to excel at everything from contracting muscles to digesting food to recognizing viruses. To engineer better proteins, including antibodies, scientists often iteratively mutate the amino acids -...

AI Speeds Up Heart Scans, Saving Doctors…

Researchers have developed a groundbreaking method for analysing heart MRI scans with the help of artificial intelligence (AI), which could save valuable NHS time and resources, as well as improve...

Researchers Customize AI Tools for Digit…

Scientists from Weill Cornell Medicine and the Dana-Farber Cancer Institute in Boston have developed and tested new artificial intelligence (AI) tools tailored to digital pathology - a rapidly growing field...

Young People Believe that AI is a Valuab…

Children and young people are generally positive about artificial intelligence (AI) and think it should be used in modern healthcare, finds the first-of-its-kind survey led by UCL and Great Ormond...