Abstract
Many fields of science and engineering are characterized by an increasing demand for computational resources. Coupled with important algorithmic advances, high performance computing allows for the gain of new results and insights by utilizing powerful computers and big storage systems. Workflows in science and engineering produce huge amounts of data through numerical simulations and derive new knowledge by a subsequent analysis of this data. Progress in these fields depends on the availability of HPC environments, from medium sized teraflops systems up to leading petaflops systems. © 2012 Springer-Verlag.
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CITATION STYLE
Ludwig, T., Bekas, C., Koniges, A., & Nakajima, K. (2012). Topic 15: High performance and scientific applications. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7484 LNCS, pp. 779–780). https://doi.org/10.1007/978-3-642-32820-6_77
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