Implementing Fast MRI Gridding on GPUs via CUDA

@inproceedings{Gregerson2008ImplementingFM,
  title={Implementing Fast MRI Gridding on GPUs via CUDA},
  author={Anthony E. Gregerson},
  year={2008}
}
Modern graphics processing units (GPUs) have made high-performance SIMD designs available to consumers at commodity prices. This has made them an attractive platform for parallel applications, however developing efficient general-purpose code for graphics-optimized architectures has proven challenging. To explore the challenges and opportunities of exploiting general-purpose GPU processing, we implemented the non-equispaced Fast-Fourier Transform algorithm, commonly known as ‘gridding’, on a… CONTINUE READING

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References

Publications referenced by this paper.
Showing 1-4 of 4 references

Fast Gridding on Commodity Graphics Hardware

T. S. Sorensen, T. Schaeffter, K. O. Noe, M. Schacht- Hansen
Proceedings of Workshop on Non- Cartesian MRI, ISMRM: Arizona, 2007. • 2007

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