GPUs Accelerating Higher Energy Exploration at CERN

CERN is upgrading the LHC (Large Hadron Collider), which is the world’s largest and most powerful particle accelerator ever built, to explore the new high-energy frontier. A researcher describes how his team is working to increase the luminosity of beam dynamics with GPUs. The most technically challenging aspects of the upgrade cannot be done by CERN alone and require collaboration and external expertise.

There are 7,000 scientists from over 60 countries working to extend the LHC discovery potential; the accelerator will need a major upgrade around 2020 to increase its luminosity by a factor of 10 beyond the original design value.

Ph.D. student Adrian Oeftiger attends EPFL (École Polytechnique Fédérale de Lausanne) in Switzerland which is one of the High Luminosity LHC beneficiaries – his research group is working to parallelize their algorithms to create software that will offer the possibility of new kinds of beam dynamics studies that have not been possible with the current technology.

Vertical electric field of a beam at injection in the SPS calculated using a particle-in-cell algorithm.

Learn how their research team is using Tesla GPUs, CUDA, cuSOLVER and other  GPU-accelerated libraries to accelerate their code to explore the new high-energy frontier.

Read the interview on Parallel Forall >>

About Brad Nemire

Brad Nemire
Brad Nemire is on the Developer Marketing team and loves reading about all of the fascinating research being done by developers using NVIDIA GPUs. Reach out to Brad on Twitter @BradNemire and let him know how you’re using GPUs to accelerate your research. Brad graduated from San Diego State University and currently resides in San Jose, CA. Follow @BradNemire on Twitter