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Performance projections of High Performance Computing (HPC) applications onto various hardware platforms are important for hardware vendors and HPC users. The projections aid hardware vendors in the design of future systems, enable them to compare the application performance across different existing and future systems, and help HPC users with system(More)
Surrogate-based Workload Application Performance Projection (SWAPP) is a framework for performance projections of High Performance Computing (HPC) applications using benchmark data. Performance projections of HPC applications onto various hardware platforms are important for hardware vendors and HPC users. The projections aid hardware vendors in the design(More)
Power consumption is a critical consideration in high computing systems. We propose a novel job scheduler that optimizes power and energy consumed by clusters when running parallel benchmarks with minimal impact on performance. We construct accurate models for estimating power consumption. These models are based on measurements of power consumption on(More)
Data mining applications discover useful information or patterns in large sets of data. Because they can be highly parallelizable and computationally intensive, data mining applications have the potential to take advantage of the large numbers of processors predicted for future multi-core systems. However, the potential performance of these applications on(More)
Power consumption is a critical consideration in high computing systems. We propose a novel job scheduler that optimizes power and energy consumed by clusters when running parallel benchmarks with minimal impact on performance. We construct accurate models for estimating power consumption. These models are based on measurements of power consumption on(More)
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