deep and wide metrics for hpc resource capability and project usage
This paper defines and demonstrates application of possible quantitative metrics for the qualitative notions of "deep" and "wide" HPC system use along with the related concepts of capability and capacity computing. By summarizing HPC workloads according to the science-oriented projects using the systems, rather than solely on job sizes and distributions, one can identify differences between the workloads on different systems as well as highlight certain instances of unique usage modalities. Specific definitions of depth and width are suggested, along with metrics that permit comparisons to determine which systems are deeper or wider than others. Similarly, the same data permit an alternate means of defining the degree to which HPC system activities are capability-or capacity-oriented.
deep wide metrics capability capacity teragrid high-performance computing measurement