The Future of Large Scale Scientific Computing

Future science projects promise exciting new discoveries and insights. They will come with a price: a significant increase in scale and complexity. These new scientific devices will produce unprecedented data volumes. The data will have to be stored and  processed. And in all of this, the analysis of these huge data volumes will be the biggest challenge. The computing will need to be as large and as sophisticated as the devices themselves. 

In this talk, I will describe new innovative computing approaches to handle these computing needs. I will use one of these projects, the High Luminosity Large Hadron Collider (HL-LHC), as an example. The HL-LHC is the next stage of the highest energy particle collider at CERN in Geneva, Switzerland. It is  planned to come online in 2026. The LHC experiments don't work in isolation on these challenges. They collaborate with each other and are reaching out to the community. The goal is to work on cross-experiment and cross-discipline solutions.  Which in the end would benefit the whole scientific community.