The FFT on a GPU
By Kenneth Moreland, Edward Angel. SIGGRAPH/EUROGRAPHICS Conference On Graphics Hardware, 2003
396 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/196b6e599e9c4df8771a8ad156eed3c08eeb2982
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Daniel Reiter Horn
- Jeremy Sugerman
- M. Houston
- Anders Eklund
- P. Hanrahan
- Kayvon Fatahalian
- Paul Dufort
- Ian Buck
Citations in the corpus
- MR image reconstruction using the GPU (2006, unknown): “For the GPU-based FFT, Moreland et al. 8 presented the first implementation with the performance being slower than the FFTW library.”
- Brook for GPUs: Stream Computing on Graphics Hardware (2004, methodology): “We also outperform Moreland and Angel’s NVIDIA specific implementation [2003] by the same margin.”
- Medical image processing on the GPU - Past, present and future (2013, background): “Two of the earliest examples of FFT based filtering on a GPU were presented in 2003 (Moreland and Angel, 2003; Mitchell et al., 2003).”
- Computational Physics on Graphics Processing Units (2012, result): “Despite being heavily non-local, much work has been done to improve the FFT algorithm and make it cache efficient [19,20,21,22,23], so it is possible to achieve a 20-fold speed up over the standard CPU FFTW or a 5-fold speedup when compared to a highly optimised MKL implementation.”