Workflows and Distributed Computing

Life Sciences have become increasingly digital and this is accelerating. Computational techniques play key roles in processing, analysis and generating new knowledge from experiments, even in replacing them. This has been enabled due to tremendous advances in techniques such as docking and molecular simulations at both atomistic and quantum levels to which world-leading...

The biggest challenge in understanding the brain is being able to understand how its different levels of organisation relate to each other,hierarchically, spatially and temporally. This means identifying how genetic, molecular and cellular principles of organisation are translated intobrain activity, cognition and behaviour. It also involves deciphering how behaviour, disease...

The ExaQUte project aims at constructing a framework to enable Uncertainty Quantification (UQ) and Optimization Under Uncertainties (OUU) in complex engineering problems using computational simulations on Exascale systems. The stochastic problem of quantifying uncertainties will be tackled by using a Multi Level MonteCarlo (MLMC) approach that allows a high number of...

Real time data analytics, Data stream analysis, Scalability, Data visualization, Very large data basesOrganizations leverage data pools to drive value, while it is variety, not volume or velocity, which drives big-data investments. The convergence of IoT, cloud, and big data, create new opportunities for self-service analytics towards a completely paradigm towards big data...