Description
This paper explores the evolution of HPC workloads and how cloud computing has evolved to become a viable tool to complement on-premises capabilities for running large-scale scientific workloads. It looks at the challenges driven by advanced, large-scale scientific workloads, the importance of their resultant research, how cloud-based resources are capable of meeting HPC requirements, and examples of results provided by running large-scale scientific workloads in the cloud.
