Our latest news

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Behind the Scenes of CoE RAISE

An interview with Marcel Aach, PhD student at Forschungszentrum Jülich and the University of Iceland.

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Realising the potential of AI and HPC

Andreas Lintermann and two other experts in the field shared their thoughts about some of the potential from the increased combining of AI and HPC, in an interview for the Scientific Computing World guided by David Stuart.

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Towards more efficient and accurate algorithms in science and industry using machine learning

One of the primary goals in CoE RAISE is the development and expansion of Artificial Intelligence (AI) methods in line with representative use cases from research and industry. These have a strong focus on data-driven technologies, i.e. analyzing data-rich descriptions of physical phenomena. Example use cases vary widely and range from fundamental physics and remote sensing to 3D printing and acoustics.

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International Day of Women and Girls in Science

In 2015, the United Nations General Assembly declared February 11 as the International Day of Women and Girls in Science. The goal is to achieve full and equal access to and participation of women and girls in science and to further advance gender equality and the empowerment of women and girls. As part of this day, we would like to feature two of our team members in RAISE.

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Compute-driven use cases towards Exascale

One of the primary goals in CoE RAISE is the development and expansion of AI methods along representative use cases from research and industry, which have a strong focus on data-driven technologies, i.e., analyzing data-rich descriptions of physical phenomena. Example use cases vary widely and range from fundamental physics and remote sensing to 3D printing and acoustics.

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CoE RAISE partners serve as mentors at the BSC-NVIDIA GPU Hackathons for HPC and AI

CoE RAISE, along with other Centers of Excellence in Exascale Computing, played an active role in the BSC-NVIDIA GPU Hackathons for HPC and AI by guiding participants in testing their applications. 

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Blueprint of AI Framework for Exascale conceived using Application Co-Design

One of the most important goals of CoE RAISE is to support the development of Artificial Intelligence (AI) technologies towards their Exascale application using cutting-edge HPC systems. Therefore, building, training, and evaluating Machine Learning (ML) and Deep Learning (DL) models is of utmost importance.

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Behind the Scenes of CoE RAISE

An interview with Eric Wulff, AI Software Developer at CERN.

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Data-driven use cases towards Exascale

One of the primary goals in CoE RAISE is the development and expansion of AI methods along representative use cases from research and industry, which have a strong focus on data-driven technologies, i.e., analyzing data-rich descriptions of physical phenomena.

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Behind the Scenes of CoE RAISE

An interview with Reza Hassanian, PhD student at the University of Iceland.

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On the way to lower energy consumption in the transport sector with the help of machine learning

The research in WP3 and the collaboration with WP2 is strongly related to the growing environmental awareness. To be more precise, it is a must in the transport sector to lower energy consumption which is strongly determined by friction drag.

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The virtual Summer school of the IEEE GRSS HDCRS working group on High-Performance and Disruptive Computing in Remote Sensing

In collaboration with the University of Iceland (UOI) and Forschungszentrum Jülich (FZJ), CoE-RAISE co-organized the virtual event in the capacity of partner from May 31 to June 3, 2021.

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Application Co-Design for an AI Framework for Exascale

One of the CoE RAISE goals is to design, implement, and evaluate an AI framework that is ready for future Exascale HPC systems (see ‘AI at Exascale‘ ). This framework is an enabler for highly scalable applications accelerating scientific discovery and advancing engineering in a wide variety of domains. It is co-designed by the RAISE Use Cases from natural sciences and engineering.

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CoE RAISE oganized a seminar on its Interaction Room technique to boost interdisciplinary collaboration

CoE RAISE organized a seminar titled “HPC Systems Engineering in the Interaction Room” from 12:00-14:00 CEST on April 8th, 2021.