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

Stanford Medicine Study Suggests Physici…

Artificial intelligence-powered chatbots are getting pretty good at diagnosing some diseases, even when they are complex. But how do chatbots do when guiding treatment and care after the diagnosis? For...

OmicsFootPrint: Mayo Clinic's AI To…

Mayo Clinic researchers have pioneered an artificial intelligence (AI) tool, called OmicsFootPrint, that helps convert vast amounts of complex biological data into two-dimensional circular images. The details of the tool...

Testing AI with AI: Ensuring Effective A…

Using a pioneering artificial intelligence platform, Flinders University researchers have assessed whether a cardiac AI tool recently trialled in South Australian hospitals actually has the potential to assist doctors and...

Adults don't Trust Health Care to U…

A study finds that 65.8% of adults surveyed had low trust in their health care system to use artificial intelligence responsibly and 57.7% had low trust in their health care...

AI Unlocks Genetic Clues to Personalize …

A groundbreaking study led by USC Assistant Professor of Computer Science Ruishan Liu has uncovered how specific genetic mutations influence cancer treatment outcomes - insights that could help doctors tailor...

The 10 Year Health Plan: What do We Need…

Opinion Article by Piyush Mahapatra, Consultant Orthopaedic Surgeon and Chief Innovation Officer at Open Medical. There is a new ten-year plan for the NHS. It will "focus efforts on preventing, as...

Deep Learning to Increase Accessibility…

Coronary artery disease is the leading cause of death globally. One of the most common tools used to diagnose and monitor heart disease, myocardial perfusion imaging (MPI) by single photon...

People's Trust in AI Systems to Mak…

Psychologists warn that AI's perceived lack of human experience and genuine understanding may limit its acceptance to make higher-stakes moral decisions. Artificial moral advisors (AMAs) are systems based on artificial...

DMEA 2025 - Innovations, Insights and Ne…

8 - 10 April 2025, Berlin, Germany. Less than 50 days to go before DMEA 2025 opens its doors: Europe's leading event for digital health will once again bring together experts...

Relationship Between Sleep and Nutrition…

Diet and sleep, which are essential for human survival, are interrelated. However, recently, various services and mobile applications have been introduced for the self-management of health, allowing users to record...

New AI Tool Mimics Radiologist Gaze to R…

Artificial intelligence (AI) can scan a chest X-ray and diagnose if an abnormality is fluid in the lungs, an enlarged heart or cancer. But being right is not enough, said...

AI Model can Read ECGs to Identify Femal…

A new AI model can flag female patients who are at higher risk of heart disease based on an electrocardiogram (ECG). The researchers say the algorithm, designed specifically for female patients...