Abstract
In recent years there has been an increasing trend toward the incorporation of computers into a variety of devices where the amount of memory available is limited. This makes it desirable to try to reduce the size of applications where possible. This article explores the use of compiler techniques to accomplish code compaction to yield smaller executables. The main contribution of this article is to show that careful, aggressive, interprocedural optimization, together with procedural abstraction of repeated code fragments, can yield significantly better reductions in code size than previous approaches, which have generally focused on abstraction of repeated instruction sequences. We also show how "equivalent" code fragments can be detected and factored out using conventional compiler techniques, and without having to resort to purely linear treatments of code sequences as in suffix-tree-based approaches, thereby setting up a framework for code compaction that can be more flexible in its treatment of what code fragments are considered equivalent. Our ideas have been implemented in the form of a binary-rewriting tool that reduces the size of executables by about 30% on the average.
Original language | English (US) |
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Pages (from-to) | 378-415 |
Number of pages | 38 |
Journal | ACM Transactions on Programming Languages and Systems |
Volume | 22 |
Issue number | 2 |
DOIs | |
State | Published - Mar 2000 |
Externally published | Yes |
Keywords
- Code compaction
- Code compression
- Code size
- Compilers
- D.3.4 [Programming Languages]: Processors - code generation
- E.4 [Coding and Information Theory]: Data Compaction and Compression - Program, representation
- Experimentation
- Optimization
- Performance
ASJC Scopus subject areas
- Software