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On pipelining dynamic instruction scheduling logic

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Published:01 December 2000Publication History
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References

  1. 1.M. Butler and Y. Patt, An investigation of the performance of various dynamic scheduling techniques, in Proceedings of the 25th Annual ACM/IEEE International Symposium on Microarchitecture, 1992. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. 2.IA-32 Intel Architecture Software Developer's Manual With Preliminary Willamette Architecture Information Volume 1: Basic Architecture, Intel Corporation, 2000.Google ScholarGoogle Scholar
  3. 3.S. Palacharla, N. P. Jouppi, and J. E. Smith, Complexity-effective superscalar processors, in Proceedings of the 24th Annual International Symposium on Computer Architecture, 1997. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. 4.R. M. Tomasulo, An efficient algorithm for exploiting multiple arithmetic units, IBM Journal of Research and Development, vol. 11, pp. 2533, January 1967.Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. 5.K. C. Yeager, The MIPS R10000 superscalar microprocessor, IEEE Micro, vol. 16, no. 2, pp. 2841, April 1996. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. 6.A. Yu, Client Architecture for the New Millennium, Intel Corporation, February 2000. Spring 2000 Intel Developer Forum Keynote Presentation.Google ScholarGoogle Scholar

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  1. On pipelining dynamic instruction scheduling logic

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                        • Published in

                          cover image ACM Conferences
                          MICRO 33: Proceedings of the 33rd annual ACM/IEEE international symposium on Microarchitecture
                          December 2000
                          357 pages
                          ISBN:1581131968
                          DOI:10.1145/360128

                          Copyright © 2000 ACM

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                          Publication History

                          • Published: 1 December 2000

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                          MICRO 33 Paper Acceptance Rate31of110submissions,28%Overall Acceptance Rate484of2,242submissions,22%

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