Corpus ID: 14014986

Performance Engineering for a Medical Imaging Application on the Intel Xeon Phi Accelerator

@inproceedings{Hofmann2014PerformanceEF,
  title={Performance Engineering for a Medical Imaging Application on the Intel Xeon Phi Accelerator},
  author={Johannes Hofmann and Jan Treibig and G. Hager and G. Wellein},
  booktitle={ARCS Workshops},
  year={2014}
}
We examine the Xeon Phi, which is based on Intel's Many Integrated Cores architecture, for its suitability to run the FDK algorithm--the most commonly used algorithm to perform the 3D image reconstruction in cone-beam computed tomography. We study the challenges of efficiently parallelizing the application and means to enable sensible data sharing between threads despite the lack of a shared last level cache. Apart from parallelization, SIMD vectorization is critical for good performance on the… Expand
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