Abstract

As computing platforms become more and more complex, the task of optimizing performance critical codes becomes more challenging. Recently, more attention has been focused on automating this optimization process by making aggressive assumptions about the algorithm. Motivated by these trends, this paper presents HiLO, the high-level optimizer for FFT codes. HiLO blends traditional optimization techniques into an optimization strategy tailored to the needs of FFT codes and outputs C code ready to be further optimized by the native compiler. It has already been shown that such high-level transformations are important to coax the native compiler into doing its job well. HiLO provides a more appropriate platform for researching these phenomena, suggests an optimization strategy that improves on previous approaches, and shows that even software pipelining at the C level can improve the final binary’s performance.

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References

  1. 1.
    Püschel, M., Moura, J., Johnson, J., Padua, D., Veloso, M., Singer, B., Xiong, J., Franchetti, F., Gacic, A., Voronenko, Y., Chen, K., Johnson, R.W., Rizzolo, N.: Spiral: Code generation for dsp transforms. In: To appear in Proceedings of the IEEE special issue on Program Generation, Optimization, and Adaptation (2005)Google Scholar
  2. 2.
    Frigo, M., Johnson, S.G.: Fftw: An adaptive software architecture for the fft. In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 3, pp. 1381–1384 (1998)Google Scholar
  3. 3.
    Whaley, R.C., Petitet, A., Dongarra, J.J.: Automated empirical optimizations of software and the atlas project. Parallel Computing 27, 3–35 (2001)MATHCrossRefGoogle Scholar
  4. 4.
    Xiong, J., Johnson, J., Johnson, R., Padua, D.: Spl: A language and compiler for dsp algorithms. In: Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation, pp. 298–308. ACM Press, New York (2001)Google Scholar
  5. 5.
    Gamma, E., Helm, R., Johnson, R., Vlissides, J.: Design Patterns: Elements of Reusable Object-Oriented Software. Addison-Wesley Longman Publishing Co., Inc., Amsterdam (1995)Google Scholar
  6. 6.
    Muchnick, S.S.: Advanced Compiler Design and Implementation. Morgan Kaufmann Publishers, Inc., San Francisco (1997)Google Scholar
  7. 7.
    Frigo, M.: A fast fourier transform compiler. In: Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation, pp. 169–180. ACM Press, New York (1999)Google Scholar
  8. 8.
    Jain, S.: Circular scheduling: A new technique to perform software pipelining. In: Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation, pp. 219–228. ACM Press, New York (1991)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Nick Rizzolo
    • 1
  • David Padua
    • 1
  1. 1.University of Illinois at Urbana-ChampaignUrbanaUSA

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