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Code generation

  • W. M. Waite
Chapter 3.: Synthesis
Part of the Lecture Notes in Computer Science book series (LNCS, volume 21)

Keywords

Evaluation Procedure Input Stream Source Language Machine Instruction Target Computer 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Arden, B.W., Galler, B.A., Graham, R.M.: The MAD definition facility. CACM 12, 432–439 (1969).Google Scholar
  2. Beatty, J.C.: Register assignment algorithm for generation of highly optimized object code. IBM J. Res. Dev. 18, 20–39 (1974).Google Scholar
  3. Capon, P.C., Morris, D., Rohl, J.S., Wilson, I.R.: The MU5 compiler target language and autocode. Computer J. 15, 109–112 (1972).Google Scholar
  4. Conway, R.W., Wilcox, T.R.: Design and implementation of a diagnostic compiler for PL/I. CACM 16, 169–179 (1973).Google Scholar
  5. Elson, M., Rake, S.T.: Code Generation Techniques for large-language compilers. IBM Systems J. 9, 166–188 (1970).Google Scholar
  6. IBM: IBM System/360 Principles of Operation. Sixth Edition, IBM Corp. 1967.Google Scholar
  7. IBM: IBM System/360 Operating System FORTRAN IV (H) Compiler Program Logic Manual. Fourth Edition, IBM Corp. 1968.Google Scholar
  8. Mealy, G.H.: A generalized assembly system. In Rosen, S. (ed.) Programming Systems and Languages. McGraw-Hill 1967.Google Scholar
  9. Naur, P.: The design of the GIER ALGOL compiler. Ann. Rev. in Automatic Programming 4, 49–85 (1964).Google Scholar
  10. van Wijngaarden, A. (ed.): Report on the algorithmic language ALGOL 68. Num. Math. 14, 29–218 (1969).Google Scholar
  11. Wilcox, T.R.: Generating Machine Code for High-Level Programming Languages. Ph.D. Thesis, Cornell University 1971.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1976

Authors and Affiliations

  • W. M. Waite
    • 1
  1. 1.Dept. of Electrical EngineeringUniversity of ColoradoBoulderUSA

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