平成28（2016）年度　共同利用登録実施報告書

課題番号	28−共研−26	分野分類		統計数理研究所内分野分類		j
				主要研究分野分類		2
研究課題名	Performance evaluation of HPC and Big Data applications on supercomputers and clouds
フリガナ 代表者氏名	サラリア シュウェタ サラリア シュウェタ		ローマ字		Salaria Shweta
所属機関	東京工業大学
所属部局	Department of Mathematical and Computing Sciences
職　　名	大学院生　博士課程

研究目的と成果の概要

The path to HPC-Big Data convergence has resulted in numerous researches that demonstrate the performance trade-off between running applications on supercomputers and cloud platforms. Previous studies typically focus either on scientific HPC benchmarks or previous cloud configurations, failing to consider all the new opportunities offered by current cloud offerings. We aim to present a comparative study of the performance of representative big data benchmarks, or "Big Data Ogres", and HPC benchmarks running on supercomputer and cloud. Our work will distinguish itself from previous studies in a way that we explore the latest generation of compute-optimized Amazon Elastic Compute Cloud instances, C4 and Microsoft Azure H instances for our experimentation on cloud and different supercomputers.
We could complete only a part of our experimental setup on SGI ICE X. We intend to request for more nodes to complete our experimentation. In the mean time, we will run the experiments on both the cloud environments and be able to draw conclusions.