By Neil Johnson, Alan Mycroft (auth.), Görel Hedin (eds.)
This ebook constitutes the refereed court cases of the twelfth overseas convention on Compiler building, CC 2003, held in Warsaw, Poland, in April 2003.
The 20 revised complete general papers and one device demonstration paper awarded including invited papers have been rigorously reviewed and chosen from eighty three submissions. The papers are prepared in topical sections on check in allocation, language constructs and their implementation, style research, Java, pot pourri, and optimization.
Read or Download Compiler Construction: 12th International Conference, CC 2003 Held as Part of the Joint European Conferences on Theory and Practice of Software, ETAPS 2003 Warsaw, Poland, April 7–11, 2003 Proceedings PDF
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Extra resources for Compiler Construction: 12th International Conference, CC 2003 Held as Part of the Joint European Conferences on Theory and Practice of Software, ETAPS 2003 Warsaw, Poland, April 7–11, 2003 Proceedings
The ordering of the vertices in the exact sequential algorithm may, however, have a strong impact on the eﬃciency of the search. Br´elaz in 1979 proposed an eﬃcient method called the DSATUR heuristic . , the number of colors used by its neighbors. If implementing the algorithm carefully, the information on vertex saturation can in fact be eﬃciently maintained, using so-called shrinking sets, as shown by, for example, Turner . 2 Obtaining the Maximum Clique Algorithm 2 shows a simpliﬁed branch-and-bound approach to the MaximumClique problem.
S. Davidson, and S. G. Abraham. Minimizing Register Requirements of a Modulo Schedule via Optimum Stage Scheduling. International Journal of Parallel Programming, 24(2):103–132, Apr. 1996. -A. Touati and C. Eisenbeis 6. W. fen Lin, S. K. Reinhardt, and D. Burger. Reducing DRAM Latencies with an Integrated Memory Hierarchy Design. In Proceedings of the 7th International Symposium on HighPerformance Computer Architecture, Nuevo Leone, Mexico, Jan. 2001. 7. D. Fimmel and J. Muller. Optimal Software Pipelining Under Resource Constraints.
2 defines our loop model and a generic ILP processor. Sect. 3 starts the study with a simple example. The problem of cyclic register allocation is described in Sect. 4 and formulated with integer linear programming (intLP). The special case where a rotating register file (RRF) exists in the underlying processor is discussed in Sect. 5. 6, we present a polynomial subproblem. Finally, we synthesize our experiments in Sect. 7 before concluding. 2 Loop Model We consider a simple innermost loop (without branches).