Abstract
Since the early days of supercomputing, numerical routines have caused the highest demand for computing power anywhere, making their efficient parallelisation one of the core methodical tasks in high-performance computing. And still, many of today’s fastest computers in the world are mostly used for the solution of huge systems of equations as they arise in the simulation of complex large-scale problems in science and engineering. But the scope of numerical algorithms goes far beyond numerical simulation, as their increasing importance in imaging or for search engine algorithmics shows.
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© 2008 Springer-Verlag Berlin Heidelberg
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Bungartz, H.J., Bruguera, J.D., Arbenz, P., Hendrickson, B.A. (2008). Topic 10: Parallel Numerical Algorithms. In: Luque, E., Margalef, T., Benítez, D. (eds) Euro-Par 2008 – Parallel Processing. Euro-Par 2008. Lecture Notes in Computer Science, vol 5168. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85451-7_82
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DOI: https://doi.org/10.1007/978-3-540-85451-7_82
Publisher Name: Springer, Berlin, Heidelberg
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