Exploring hyper-parameter spaces of neuroscience models on high performance computers with Learning to Learn
Neuroscience models commonly have a high number of degrees of freedom and only specific regions within the parameter space are able to produce dynamics of interest. This makes the development of...
Brain Modelling as a Service: The Virtual Brain on EBRAINS
The Virtual Brain (TVB) is now available as open-source cloud ecosystem on EBRAINS, a shared digital research platform for brain science. It offers services for constructing, simulating and...
Staged deployment of interactive multi-application HPC workflows
Running scientific workflows on a supercomputer can be a daunting task for a scientific domain specialist. Workflow management solutions (WMS) are a standard method for reducing the complexity of...
Performance Comparison for Neuroscience Application Benchmarks
Researchers within the Human Brain Project and related projects have in the last couple of years expanded their needs for high-performance computing infrastructures. The needs arise from a diverse...
Arbor - A Morphologically-Detailed Neural Network Simulation Library for Contemporary High-Performance Computing Architectures
Archival Data Repository Services to Enable HPC and Cloud Workflows in a Federated Research e-Infrastructure
Unifying von-Neumann HPC and Neuromorphic Acceleration via the EBRAINS Research Infrastructure: A Framework for High-Performance Workflows
Modern scientific workflows increasingly span diverse computing architectures, yet executing a single computational model across disparate systems often forces researchers to maintain fragmented,...
HPC Containers for EBRAINS: Towards Portable Cross-Domain Software Environment
Deploying complex, distributed scientific workflows across diverse HPC sites is often hindered by site-specific dependencies and complex build environments. This paper investigates the design and...