Analyzing and compressing assembly code

  • Authors:
  • Christopher W. Fraser;Eugene W. Myers;Alan L. Wendt

  • Affiliations:
  • University of Arizona, Tucson, AZ;University of Arizona, Tucson, AZ;University of Arizona, Tucson, AZ

  • Venue:
  • SIGPLAN '84 Proceedings of the 1984 SIGPLAN symposium on Compiler construction
  • Year:
  • 1984

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Abstract

This paper describes the application of a general data compression algorithm to assembly code. The system is retargetable and generalizes cross-jumping and procedural abstraction. It can be used as a space optimizer that trades time for space, it can turn assembly code into interpretive code, and it can help formalize and automate the traditionally ad hoc design of both real and abstract machines.