Abstract
We investigate the opportunities for using GPUs to perform numerical integration for finite element simulations. The degree of concurrency and memory usage patterns are analyzed for different types of finite element approximations. The results of numerical experiments designed to test execution efficiency on GPUs are presented. We draw some conclusions concerning advantages and disadvantages of off-loading numerical integration to GPUs for finite element calculations.
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Płaszewski, P., Macioł, P., Banaś, K. (2010). Finite Element Numerical Integration on GPUs. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Wasniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2009. Lecture Notes in Computer Science, vol 6067. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14390-8_43
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DOI: https://doi.org/10.1007/978-3-642-14390-8_43
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14389-2
Online ISBN: 978-3-642-14390-8
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