Revisiting co-scheduling for upcoming ExaScale systems

Future generation supercomputers will be a hundred times faster than today´s leaders of the Top 500 while reaching the exascale mark. It is predicted that this performance gain in terms of CPU power will be achieved by a shift in the ratio of compute nodes to cores per node. The amount of nodes will not grow significantly compared to today´s systems, instead they will be built by using many-core CPUs holding more than hundreds of cores resulting in a widening gap between compute power and I/O performance [1]. Four key challenges of future exascale systems have been identified by previous studies that must be coped with when designing them: energy and power, memory and storage, concurrency and locality, and resiliency [2].