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ADVANCES IN PARALLEL, DISTRIBUTED, GRID AND CLOUD COMPUTING FOR ENGINEERING
Edited by: P. Iványi, B.H.V. Topping and G. Várady
High Performance Computing - Trends, Opportunities and Challenges
M.M. Resch and T. Boenisch
High Performance Computing Center Stuttgart (HLRS), University of Stuttgart, Germany
M.M. Resch, T. Boenisch, "High Performance Computing - Trends, Opportunities and Challenges", in P. Iványi, B.H.V. Topping and G. Várady, (Editors), "Advances in Parallel, Distributed, Grid and Cloud Computing for Engineering", Saxe-Coburg Publications, Stirlingshire, UK, Chapter 1, pp 1-8, 2017. doi:10.4203/csets.40.1
Keywords: High Performance Computing, Moore’s law, Big Data.
In this paper we describe the current and upcoming trends, challenges and opportunities in High Performance Computing. We discuss the end of Moore’s law, its effect on HPC architectures and the already visible and potential implications on hardware development. As a result of this the focus of attention will shift from hardware to software and algorithms. This will cover programming models, power efficiency as well as mathematical models. The impact of data on HPC is another important point. We analyse the influence of different big data and data analytics fields and show how they might change High Performance Computing in future.
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