Integration of PanDA workload management system with Titan supercomputer at OLCF

Modern research in high-energy physics is practically impossible without massive computing infrastructure. ATLAS currently uses more than 100,000 CPU cores deployed in a hierarchical Grid But the next LHC runs will require more resources than this Grid can possibly provide to sustain the pace of the proposed research. The Grid infrastructure will be sufficient for the planned analysis and data processing, but it will fall short of the requirements for the large-scale Monte Carlo simulations as well as any extra activities. Additional computing and storage resources are therefore required. To meet these challenges, ATLAS is engaged in an ambitious program to expand the current computing model to incorporate additional resources, including supercomputers and high-performance computing clusters.