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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.

Abstract

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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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Computational Science, Engineering & Technology Series ISSN 1759-3158 CSETS: 40 ADVANCES IN PARALLEL, DISTRIBUTED, GRID AND CLOUD COMPUTING FOR ENGINEERING Edited by: P. Iványi, B.H.V. Topping and G. Várady Chapter 1 High Performance Computing - Trends, Opportunities and Challenges M.M. Resch and T. Boenisch High Performance Computing Center Stuttgart (HLRS), University of Stuttgart, Germany doi:10.4203/csets.40.1 purchase the full-text of this chapter Full Bibliographic Reference for this chapter 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. Abstract 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. purchase the full-text of this chapter (price £25) go to the previous chapter go to the next chapter return to the table of contents return to the book description purchase this book (price £85 +P&P)
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