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LIAN Ruiqi, ZHANG Zhaoqing, QIAO Ruliang. Automatic Generation of Interprocedural Data-Flow Analyzers and Optimizers[J]. Journal of Computer Science and Technology, 2002, 17(6).
Citation: LIAN Ruiqi, ZHANG Zhaoqing, QIAO Ruliang. Automatic Generation of Interprocedural Data-Flow Analyzers and Optimizers[J]. Journal of Computer Science and Technology, 2002, 17(6).

Automatic Generation of Interprocedural Data-Flow Analyzers and Optimizers

  • Interprocedural analysis and optimization are very important forcompilers to exploit parallelism of modern high-performance computersystems. But it is very complicated, easy to make mistakes anddifficult to maintain and port. To solve the problem, we construct anautomatic generator of interprocedural analyzers and optimizers --- IGEN.In IGEN, first a new model to describe the interproceduraldata-flow problem is designed. It is fit for all traditional data-flow problems andcan be used in context-sensitive algorithms. Then, thestructure and the working environment of IGEN are described in detail.Finally, the implementation of IGEN and our experimental result aregiven.
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