Distributed Computing Infrastructure

Distributed Computing
Infrastructure

The CLARA Testbed Distributed Computing Infrastructure provides high-performance computational resources that enable complex simulations, deep learning, and large-scale data processing. It is designed to support demanding neuroscientific computations while ensuring scalability and efficiency.

The computing infrastructure:

Is optimised for execution of protein-ligand docking (binding of proteins with drug candidates and other biomolecules in the brain), molecular dynamics, and ML tasks.
Will contain generally programmable GPU-type accelerators featuring hardware acceleration to vector and tensor operations and quantum computer simulations.
Is based on multi-tiered computing resources organized into distinct layers, each with specialized functions to improve performance, scalability, and manageability. By distributing workloads across multiple nodes and tiers, multi-tiered distributed computing infrastructure provides modularity and flexibility throughout the development and testing of new algorithms and computational approaches.