In Situ Visualization of Performance Data for High-Performance Computing Applications
Performance visualization of high-performance computing (HPC) codes, while complex, can be one of the most useful tools in analysis. Moving the visualization earlier in a workflow can save scientists enormous amounts of time and money when they are optimizing and running their experiments on expensive and in-demand, HPC resources. This paper surveys current performance visualization capabilities and challenges, and analyzes the possibilities of taking a more in situ approach.