Simon K. Layton

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A projection-based immersed boundary method is dominated by sparse linear algebra routines. Using the open-source Cusp library, we observe a speedup (with respect to a single cpu core) which reflects the constraints of a bandwidth-dominated problem on the gpu. Nevertheless, gpus offer the capacity to solve large problems on commodity hardware. This work(More)
Computing on graphics processors is maybe one of the most important developments in computational science to happen in decades. Not since the arrival of the Beowulf cluster, which combined open source software with commodity hardware to truly democratize high-performance computing, has the community been so electrified. Like then, the opportunity comes with(More)
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