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Parallelising a set of 2-D frequency transforms in a flexible manner

Parallelising a set of 2-D frequency transforms in a flexible manner

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IEE Proceedings - Vision, Image and Signal Processing — Recommend this title to your library

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The implementation of parallel two-dimensional frequency transforms intended for the acceleration of image-processing algorithms is described. The way these routines fit into a wider generic format for such parallel routines is also indicated. There is a brief consideration of the design decisions needed to combine choice of efficient routine with wide utility. Due consideration is given to auxiliary functions. Details are included of the book-keeping required to enable real-valued data to be efficiently transformed in a parallel setting.

References

    1. 1)
      • Clark, A.F.: `PRIAM: a demonstrator for PRIPS, design issues', Technical report, 1994.
    2. 2)
      • M. Fleury , L. Hayat , A.F. Clark . Parallel reconfiguration in an image-processingcontext. Concurrency: Pract. Exp.
    3. 3)
      • A.S. WAGNER , H.V. SREEKANTASWAMY , S.T. CHANSON . Performance models for the processor farm paradigm. IEEE Trans. Parallel Distrib. Syst. , 5 , 475 - 489
    4. 4)
      • H. Sava , M. Fleury , A.C. Downton , A.F. Clark . Parallel pipeline implementationof wavelet transforms. IEE Proc. Vision, Image Signal Process. , 6 , 355 - 359
    5. 5)
      • P.N. Swarztrauber . Multiprocessor FFTs. Parallel Computing , 197 - 210
    6. 6)
      • G.L. Anderson . A stepwise approach to computing the multidimensional Fast FourierTransform of large arrays. IEEE Trans. , 3 , 280 - 284
    7. 7)
      • J.J. Dongarra , G.A. Geist , R. Manchel , V.S. Sunderam , A.Y. Zomaya . (1996) Integrated PVM frameworksupports heterogeneous computing, Parallel computing:paradigms and applications.
    8. 8)
      • J.O. Eklundh . A fast computer method for matrix transpose. IEEE Trans. , 801 - 803
    9. 9)
      • Y. Huang , Y. Paker . A parallel FFT algorithm for transputer networks. Parallel Computing , 1 - 12
    10. 10)
      • R.E. Twogood , M.P. Ekstrom , S.K. Mitra . Optimal sectioning procedure forthe implementation of 2-dimensional digital filters. IEEE Trans. , 260 - 268
    11. 11)
      • I.J. Good . The interaction algorithm and practical Fourier analysis. J. Royal Stat. Society Series B , 361 - 372
    12. 12)
      • M.L. Uhrich . Fast Fourier Transforms without sorting. IEEE Trans. , 170 - 172
    13. 13)
      • O. Buneman . Stable on-line creation of sines and cosines of successive angles. Proc. IEEE , 1434 - 1435
    14. 14)
      • P. Duhamel . Implementation of ‘Split-Radix’ FFT algorithms for complex,real, andreal-symmetric data. IEEE Trans. , 2 , 285 - 295
    15. 15)
      • S. Winograd . On computing the Discrete Fourier Transform. Math. Computation , 141 , 175 - 199
    16. 16)
      • M.C. Pease . An adaptation of the fast Fourier transform for parallel processing. J. ACM , 252 - 264
    17. 17)
      • W.H. Press , S.A. Teukolsky , W.T. Vetterling , B.P. Flannery . (1996) Numerical recipes in C.
    18. 18)
      • H.J. Nussbaumer , T.S. Huang . (1981) Two-dimensional convolution and DFT computation. In,editor, Two dimensional digital signal processing II transforms and medianfilters.
    19. 19)
      • H.K. Sorensen , D.L. Jones , M.T. Heidman , C.S. Burrus . Real-valued Fast FourierTransform algorithms. IEEE Trans. , 6 , 849 - 863
    20. 20)
      • J. Makhoul . A fast cosine transform in one and two dimensions. IEEE Trans. , 1 , 27 - 34
    21. 21)
      • S. Zohar , T.S. Huang . (1981) Winograd's discrete Fourier transform algorithm, Two dimensional digital signal processing II transforms and medianfilters.
    22. 22)
      • B.R. Hunt . Minimising the computational time for using the technique of sectioningfordigital filtering of pictures. IEEE Trans. , 1219 - 1222
    23. 23)
      • M. Fleury , L. Hayat , A.F. Clark . Parallelising grey-scale coordinate transforms. IEE Proc. Vision, Image Signal Process. , 4 , 207 - 212
    24. 24)
      • P. Ling . Circumventing the cycle. New Electron. , 30 - 31
    25. 25)
      • M. Fleury , A.C. Downton , A.F. Clark . Modelling pipelines for embedded parallelprocessor system design. Electron. Lett. , 22 , 1852 - 1853
    26. 26)
      • Harvey, D.M., Kshirsagar, S.P., Hobson, C.A., Hartley, D.A., Moorehead, J.D.: `Digital signal-processing systems architectures for image processing', 5th international conference on Image processing and itsapplications, 1995, p. 460–464, IEE Conf. Publ. 410.
    27. 27)
      • D.E. Dudgeon , R.M. Mersereau . (1984) Multidimensional signal processing.
    28. 28)
      • C. van Loan . (1992) Computational frameworks for the Fast Fourier Transform.
    29. 29)
      • R.D. Singleton . An algorithm for computing the mixed radix fast Fourier transform. IEEE Trans. , 2 , 93 - 103
    30. 30)
      • D.H. Bailey . FFTs in external or hierarchical memory. J. Supercomputing , 23 - 35
    31. 31)
      • C. Temperton . Self-sorting mixed-radix Fast Fourier Transforms. J. Computational Phys. , 1 - 23
    32. 32)
      • U. Rüde . (1997) Iterative algorithms in high performance architectures, Euro-Par '97.
    33. 33)
      • Meyer, R., Schwarz, K.: `FFT implementation on DSP-chips — theory and practice', Proceedings of the international conference on ASSP, 1990, 3, p. 1503–1506.
    34. 34)
      • G.E. Rivard . Direct Fast Fourier Transform of bivariate functions. IEEE Trans. , 3 , 250 - 252
    35. 35)
      • Kunieda, H., Itoh, K.: `Parallel 2D-FFT algorithm on a practical multiprocessor system', Proceedings of the 3rd Transputer-Occam internationalconference, 1990, IOS, Amsterdamp. 77–89, .
    36. 36)
      • 3L Ltd., 86/92 CausewaysideEdinburgh, UK, EH9 1PY, `Parallel C user guide', 1991.
    37. 37)
      • Jeong, J., Williams, W.J.: `A fast recursive bit-reversal algorithm', Proceedings of the international conference on ASSP, 1990, 3, p. 1511–1514.
    38. 38)
      • A. Averbuch , E. Gabber , B. Gordissky , Y. Medan . A parallel FFT on an MIMD machine. Parallel Computing , 61 - 74
    39. 39)
      • C.S. Burrus , P.W. Eschenbacher . An in-place, in-order prime factor FFT algorithm. IEEE Trans. , 4 , 806 - 817
    40. 40)
      • Fleury, M., Sava, H., Downton, A.C., Clark, A.F.: `A real-time parallel image-processingmodel', 6th international conference on Image processing and itsapplications, 1997, 1, p. 174–178, IEE Conf. Publ. 443.
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