Abstract
Numerical algorithms have played a key role in parallel computing since its beginning. In fact, numerical routines have caused the highest demand for computing power anywhere, making their efficient parallelization one of the core methodical tasks in high-performance computing. Many of today’s fastest computers are mostly used for the solution of huge systems of equations as they arise in the simulation of complex large-scale problems in computational science and engineering.
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© 2009 Springer-Verlag Berlin Heidelberg
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Arbenz, P., van Gijzen, M., Amestoy, P., D’Ambra, P. (2009). Introduction. In: Sips, H., Epema, D., Lin, HX. (eds) Euro-Par 2009 Parallel Processing. Euro-Par 2009. Lecture Notes in Computer Science, vol 5704. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03869-3_67
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DOI: https://doi.org/10.1007/978-3-642-03869-3_67
Publisher Name: Springer, Berlin, Heidelberg
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