Fourier correlation has many applications:

  • Measure the similarity of two signals
  • Find the best translation to overlay similar images
  • Segment volumetric medical images

A Fourier correlation algorithm can be composed from Intel® oneAPI Math Kernel Library (oneMKL) functions for easy offload to various accelerators such as GPUs and FPGAs.

In this session, senior principal software engineer Henry Gabb:

  • Covers the basics of:
    • Data Parallel C++ (DPC++) queues
    • Buffers, Unified Shared Memory (USM), and data movement
    • Implicit vs. explicit synchronization
  • Walks through buffered and USM implementations of a 1D Fourier correlation
  • Discusses the movement of data between host and device and ways to avoid unnecessary data movement

correlation=MAXLOC(IDFT(signal1)*CONJG(DFT(SIGNAL2)))) where DFT is the discrete Fourier transform, IDFT is the inverse DFT, CONJG is the complex conjugate, and MAXLOC is the location of the maximum correlation score


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  • Get DPC++ and oneMKL as part of the Intel® oneAPI Base Toolkit—a foundational set of tools and libraries for developing high-performance, data-centric applications across diverse architectures.
  • Download the stand-alone version of oneMKL.

Resources

  • Learn more about DPC++.
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  • Subscribe to Code Together, an interview series that explores the challenges at the forefront of cross-architecture development. Each biweekly episode features industry VIPs who are blazing new trails through today's data-centric world. Available wherever you get your podcasts.

 

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