Sumit Kumar Saurav

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With the augmentation of High Performance Computing (HPC) system and power consumption pattern, energy optimization has become an important concern. Several surveys indicate that the energy utilized in computation and communication within a HPC system contributes considerably to their operational costs. The proposed energy efficient rescheduling algorithm(More)
Energy consumption has become the major concern in High Performance Computing (HPC) systems as far as operational cost, reliability of systems and environmental impacts are concerned. The optimization of energy consumption in HPC systems is challenging task. The frequency/voltage used for execution of a job has a key impact in overall energy consumption. In(More)
Reduction of power and energy consumption is one of the major concerns and challenges for High Performance Computing (HPC). However, as we move towards Exascale, it will be power limited in future. The advent of Running Average Power Limit (RAPL) abstraction after sandy bridge processors has paved the way to manage power adaptively. This gives the(More)
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