Boosting Brain Simulations for the World’s Fastest Supercomputers

Arbor is a brain simulation library that enables the multiscale exploration of large neural networks with detailed biophysical modeling. However, the execution of biomedically relevant experiments requires vast computational resources, putting the scalability of both HPC systems and software to the test. This internship project will explore the optimization of Arbor to improve its performance and scalability on flagship exascale systems. The intern will contribute to the analysis and improvement of parallel execution, including communication patterns, load balancing strategies, and the efficient use of modern GPU architectures. The work will emphasize performance, scalability, and best practices in high‑performance scientific software development.