> There is no singular workload that takes up the entire or most of the resources of a supercomputer. I performed molecular dynamics simulations on the Titan s

> There is no singular workload that takes up the entire or most of the resources of a supercomputer. I performed molecular dynamics simulations on the Titan supercomputer at ORNL during grad school. At the time, this supercomputer was the fastest in the world. At least back then around 2012, ORNL really wanted projects that uniquely showcased the power of the machine. Many proposals for compute time were turned down for workloads that were “embarrassingly parallel” because these computations could be split up across multiple traditional compute clusters. However, research that involved MD simulations or lattice QCD required the fast Infiniband interconnects and the large amount of memory that Titan had, so these efforts were more likely to be approved. The lab did in fact want projects that utilized the whole machine at once to take maximum advantage of its capabilities. It’s just that oftentimes this wasn’t possible, and smaller jobs would be slotted into the “gaps” between the bigger ones.