Abstract

High Performance Computing (HPC) System refers to using a cluster of hundreds or more processing nodes for application which requires a lot of computation. The need for HPC systems has increased in recent years as more applications require a lot of computations such as Deep learning and AI. Various tools and techniques are being developed and researched to efficiently operate HPC systems in line with this need. In this paper, we develop multi-node power/performance modeling. This will help HPC system users to predict power and performance before they configure the system so that they can implement the optimal HPC system for programmers. Power and performance prediction modeling achieves 90% accuracy and takes less than an hour to predict.

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