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This study examines craft brewers as a niche market for the malting industry. Results suggest that catering to craft brewers' needs and preferences offers potential opportunities for malt suppliers. Malt suppliers will have to increase services and provide differentiated malt products to increase demand from craft brewers. This may be a problem for a number of firms that have invested capital to supply large volumes of mass‐produced malt inputs. Malt barley producers may also be able to exploit niche markets as input suppliers to malting facilities.

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Highlights• Monitoring can provide meaningful system and application profiling in production.• Visual and analytical characterizations can inform usage and procurement decisions.• Resource utilization scoring provides simple but informative characterizations.• Continuous, synchronous, high-fidelity, whole-system monitoring is required. AbstractA detailed understanding of HPC applications' resource needs and their complex interactions with each other and HPC platform resources is critical to achieving scalability and performance. Such understanding has been difficult to achieve because typical application profiling tools do not capture the behaviors of codes under the potentially wide spectrum of actual production conditions and because typical monitoring tools do not capture system resource usage information with high enough fidelity to gain sufficient insight into application performance and demands.In this paper we present both system and application profiling results based on data obtained through synchronized system wide monitoring on a production HPC cluster at Sandia National Laboratories (SNL). We demonstrate analytic and visualization techniques that we are using to characterize application and system resource usage under production conditions for better understanding of application resource needs. Our goals are to improve application performance (through understanding application-to-resource mapping and system throughput) and to ensure that future system capabilities match their intended workloads.