Abstract: Systems and methods are provided for maintaining a desired efficiency of use of resources in a computing system, such as a high performance computing (HPC) system in conjunction with a desired quality of service (QoS) associated with performance of an application executed by the resources. Efficiency and QoS may be considered together, and the provided systems and methods optimize both during application runtime.

Abstract: An improved method for managing multi-cloud spot markets for executing a computing job is disclosed. Multiple clouds may be searched automatically for available spot instances by stepping through different available instance types based on job requirements. The results may be sorted and filtered, and one or more preferred instance types may be selected from the sorted and filtered results. The computing job may be automatically deployed to the selected instance types. If the selected spot instance is no longer available, an alternate instance may be suggested. Redundant deployment to different instance types on the same or different clouds may be enabled, and machine learning may be used to predict future availability of instance types.

Abstract: An improved system and method for characterizing application performance are disclosed. The system may comprise a profiling module and a web service module. The profiling module may be configured to prompt the user to select a public mode or a private mode and specify software and hardware targets for profiling. Test results from profiling may be combined with historical data obtained from a web service module providing access to a database of historical profiling test results to create recommendations for improving performance. The profiling module may upload the test-generated data in public mode to the web service module for use in future execution cycles or keep them private if in private mode.